July 29, 2026

How Do You Successfully Deploy Microsoft 365 Copilot Across an Enterprise?

How Do You Successfully Deploy Microsoft 365 Copilot Across an Enterprise?
How Do You Successfully Deploy Microsoft 365 Copilot Across an Enterprise?
M365 FM Podcast
How Do You Successfully Deploy Microsoft 365 Copilot Across an Enterprise?

Artificial intelligence is rapidly transforming IT operations, with "agentic systems" leading the next wave of autonomous, intelligent innovation. Driven by this evolution, the global AIOps market is projected to expand at a compound annual growth rate (CAGR) of 15.2% from 2025 to 2030. Microsoft's AI Vision aligns perfectly with this paradigm shift, seamlessly connecting Windows 365 and Microsoft Intune to redefine IT management, elevate enterprise security, and deliver superior user experiences. Organizations adopting agentic AI can drastically reduce operational overhead and cut manual administrative workloads by up to 80%.

Agentic Systems in Windows 365 & Intune — Definition

Agentic Systems are managed, autonomous software agents or agent-like capabilities running within Windows 365 Cloud PCs and controlled via Microsoft Intune policies. They perform tasks on behalf of users or administrators—such as automating configuration, executing workflows, responding to telemetry, or orchestrating Copilot-driven actions—while operating under centralized governance, security constraints, and compliance settings defined in Intune.

Short Explanation

In the context of Windows 365 and Intune, Agentic Systems enable repeatable, policy-driven automation across cloud-hosted endpoints. Administrators can provision, monitor, and constrain agents through Intune device configuration, compliance policies, and app management, ensuring agents align with corporate security and privacy controls. When planning to deploy Microsoft 365 Copilot across an enterprise, agentic capabilities can be used to surface Copilot experiences, automate tenant-level configuration, manage feature rollout, and collect usage telemetry—while Intune enforces authentication, conditional access, update cadence, and data protection to reduce risk and maintain compliance.

Agentic AI enables powerful self-service capabilities that dramatically lower support expenses. By reducing the cost of individual support interactions to under $2, cloud-driven autonomous workflows offer significant financial advantages over traditional human-assisted helpdesk models.

A bar chart showing projected gains from agentic systems, including 171% ROI, 75% cost reduction from autonomous workflows, 30% early stage cost reduction, and 40% productivity gains.

How will agentic AI revolutionize modern IT orchestration, and how does Microsoft's AI Vision shape the future of cloud computing?

Key Takeaways

  • Agentic AI systems fix hard problems by themselves. They cut IT costs by 80 percent.
  • Microsoft has tools like Agent 365 and Foundry. These help companies make safe AI agents easily.
  • Windows 365 and Intune use automatic security agents. They keep devices safe. They stop cyber threats quickly.
  • Microsoft is making Windows an Agentic OS. It will do daily work tasks automatically. This will make people more productive.

Agentic Systems: The IT Paradigm Shift

Defining Autonomous AI Agents

Agentic systems are a new kind of artificial intelligence. These AI agents work on their own. They solve hard problems. They learn from their surroundings. This helps them reach their goals. They do not just follow orders. They understand situations. They change what they do. This makes them different. Older automation did not do this.

Feature Dimension Traditional Automation / AI Agentic Systems
Behavioral Intelligence Acts only when told. Watches things all the time. Knows what is needed next.
Workflow & Planning Does simple things. Fails at hard tasks. Handles many steps. Remembers what happened. Changes plans as needed.
Learning & Adaptability Uses old information. Needs full restart to update. Learns all the time. Gets better without big changes.
Domain Flexibility Made for one small job. Cannot do other things well. Is smart in general. Works well in new situations.

Old systems use fixed rules. People always tell them what to do. But agentic systems think for themselves. They break big goals into small jobs. They use tools to finish these jobs. These AI agents work independently. They change their plans. This is based on new information from the monthly enterprise channel in January. It also depends on changes around them.

Transforming IT Operations with Agentic AI

Agentic AI changes IT operations. It is more than simple automation. It makes your work smart. It makes it flexible. This change affects many IT areas.

IT Operational Area Agentic AI Impact / Capability is enhanced through the installation of the Microsoft 365 tools.
Self-Service Uses talking AI.
Service Desk Uses smart automation.
Insights & Analytics Gets better with smart predictions.
Infrastructure & Operations Fixed automatically.
Asset Management Managed automatically.

You will see better self-service. Your service desk works better. This is with smart automation. Smart predictions improve your data. Automatic fixes manage your systems. Automatic handling makes asset management better. These AI agents and apps make your IT more active.

Why Agentic Systems are Crucial for Enterprises

Agentic systems are key for businesses today. They offer big business benefits. You get more efficient work. Your employees do more. These systems help businesses grow easily. They make decisions faster. Your operations become very quick. They help find new ways to help customers. You also save money. This is by changing how work is done. Agentic AI improves important tasks. These include risk management. It also helps with supply chain strength.

Key Benefits of Transforming IT Operations with Agentic AI

When you deploy Microsoft 365 Copilot across an enterprise, adopting agentic AI to transform IT operations delivers measurable advantages across productivity, resilience, cost, and user experience.

  • Automated incident detection and remediation: Agentic AI continuously monitors systems, triages alerts, and executes repeatable fixes, reducing mean time to detection (MTTD) and mean time to resolution (MTTR) while freeing engineers for higher‑value work.
  • Proactive problem prevention: Predictive analytics and autonomous playbooks identify patterns that lead to outages or performance degradation and take preventive actions before users are impacted.
  • Scalable self‑service is a key benefit of the installation of the Microsoft 365 suite. Intelligent assistants integrated with Microsoft 365 Copilot enable employees to resolve common IT requests, run diagnostics, and follow guided remediation, lowering helpdesk ticket volume and speeding resolution.
  • Consistent policy enforcement and compliance: Agentic workflows apply corporate security and configuration policies uniformly across environments, generate audit trails, and help maintain regulatory compliance at scale.
  • Faster change rollout and rollback: Automated validation, risk scoring, and safety nets let teams deploy updates more frequently and confidently, with automated rollback when anomalies are detected.
  • Improved observability and decision support: Unified telemetry and causal analysis provide clear root‑cause insight and prioritize actions, enabling IT leaders to make data‑driven decisions quickly.
  • Cost optimization: Continuous rightsizing, automated shutdown of unused resources, and optimized licensing (including efficient Microsoft 365 Copilot usage patterns) reduce cloud and operational spend.
  • Enhanced security posture: Real‑time threat response, automated containment, and coordinated remediation across endpoints and cloud services reduce dwell time and limit blast radius, showcasing the value of Copilot.
  • Accelerated onboarding and knowledge transfer: Agentic AI captures institutional knowledge, codifies runbooks, and guides new staff through complex procedures, shortening ramp time and preserving expertise.
  • Better end‑user experience and productivity: Faster issue resolution, contextual assistance via Copilot, and fewer disruptions increase employee satisfaction and enable teams to focus on strategic initiatives.

Together, these benefits make transforming IT operations with agentic AI a high‑impact strategy when you deploy Microsoft 365 Copilot across an enterprise, aligning automation, intelligence, and governance to deliver resilient, efficient, and secure IT services.

Microsoft's Agentic AI Frameworks

You need a strong base. This base helps manage new AI agents. Microsoft gives you full frameworks. These frameworks make sure your AI is safe. They make sure it follows rules. They also make sure it is well-managed. They give you one place to control all your AI agents.

Agent 365: The Control Plane for AI Agents

Agent 365 is your main spot. It manages AI agents. You can see everything. You can control everything. This system helps you watch all your AI agents. They are across Microsoft. You can see how agents relate. You can see how well they work. It checks how fast they work, especially when Microsoft 365 desktop apps automatically install updates. It checks business returns. Agent 365 also makes sure agents follow rules. It makes sure they are safe from the start. It stops agents from using too much. This is for certain users or data. It makes sure they only use what they need. Agent 365 tracks and logs things. This makes it clear. It keeps agent identities safe. It uses Microsoft Entra. It finds weak spots. It stops attacks. It uses Microsoft Defender. This system uses Microsoft Purview. This is for data safety. It stops AI agents from sharing too much data.

Microsoft Foundry for Agent Development

Microsoft Foundry helps you build AI agents. It helps you use them. It has over 11,000 models. You can pick from them. You can make smart agents. They know what is happening. Foundry gives you server space. This is for hosting agents. It connects agents to your company's knowledge. This system lets agents act on their own. This is across other systems. Foundry also gives you one way to manage. It stops security threats. It lets you see things right away. This helps you manage your AI agents well.

Centralized Governance with Entra ID and M365 Admin Center

Entra ID and M365 Admin Center control your AI agents. They are one main source of truth. This has much information for agents. It is across Microsoft. It is also outside Microsoft. You can group agents. This is by how much you trust them. Or by what they do. This applies rules to many agents. Each AI agent gets its own identity. This lets non-human things log in. It also makes sure security rules are followed. You can see everything in one place. Every AI agent made is listed. This helps you manage your security.

Compliance and Data Protection via Purview

Microsoft Purview keeps AI agent data safe. It follows rules. It tracks who looks at data. It flags private things. This is in agent results. Purview warns you about strange data flows. It finds when rules are broken. You get full records of data used. It sets strict limits on permissions to ensure compliance with Microsoft 365 Copilot adoption. Purview also looks for attack paths. It shows where data might be exposed. This helps stop data loss.

Unified Security with Defender XDR

Microsoft Defender XDR keeps your AI safe. It finds weak spots. It stops bad attacks. It fixes security problems. Microsoft Defender helps keep your AI agents safe. It works with Microsoft Sentinel. This gives you full threat protection. You get advanced protection for AI. This makes your security stronger.

You get a full Windows experience. It is personal. It comes from the cloud. This is with Windows 365. This platform is fully managed. It removes hard VDI problems. You can set up Cloud PCs fast. You can secure them. You can use them quickly. Users get easy access. This is across many devices. Windows 365 works with Microsoft Intune. This integration lets you manage both. You manage physical and Cloud PCs together. You use the same security rules. You use the same compliance checks.

Intelligent Endpoint Management with Intune

Intune manages all your endpoints. It manages physical devices, enhancing the value of Copilot in your workflow. It also manages Cloud PCs. You use the same security rules. You use the same work steps. Intune uses AI. This makes management smarter. It is more than simple automation. AI agents in Intune work alone. They learn. They change to fit your system.

Think about these smart AI agents in Intune:

Intelligent AI Agent Functionality / Capability
Change Review Agent Checks proposed changes. It does this automatically.
Policy Configuration Agent Makes setting up rules faster.
Device Offboarding Agent Handles removing devices. It does this safely.

These agents help manage devices better. They keep your security posture strong.

Enhancing Cloud PCs with Windows 365 AI

Windows 365 gives personal Windows experiences. AI makes these Cloud PCs much better. Features like Windows 365 Boot exist. Users log right into their cloud desktop. This happens when they start their device. Windows 365 Switch allows easy moving. You move between local and cloud. These features make users happier. AI makes Cloud PCs work better. It uses resources well. You always get the best experience. This makes your Cloud PCs faster. They are also more reliable.

Windows 365 for Agents: Automated Workflows

Windows 365 for Agents gives secure Cloud PCs. They are for AI agents. It has built-in viewing. This platform helps manage your agents. It manages their whole life.

  • End-to-End Lifecycle Management: You control sessions. You control networking. You control capacity. You control data location limits.
  • Observability & Real-Time Monitoring: You see live pictures. You can take control directly. Audit screenshots have timestamps. They check security.
  • Pay-As-You-Go Pricing: This lowers running costs. You pay only for active use. This is good for changing agent work.
  • Cross-Platform OS Support: It works with Windows. It works with Linux. It works with browsers. This runs many types of automation.

Windows 365 for Agents is a strong place. It is for your AI work.

Feature Category Implementation Details Operational Benefit
Execution Environment Managed Windows Cloud PCs. They run on Azure VM. Allows agents to work alone. They can browse the web. They can process data from the 365 Copilot app to devices with Microsoft 365 apps. This is inside safe company limits.
Management & Identity Works with Microsoft Intune. This is for device control. Works with Microsoft Entra ID. This is for identity. Makes sure rules are followed. Gives strong access security. No manual setup is needed.
Resource Allocation Shared Cloud PC groups. They are by team or work. They have ready or planned capacity. No strict one-to-one rules. Allows changes based on tasks.

This setup makes your AI agents work well. They work safely.

Proactive Security Agents for Threat Response

AI agents are key for security. They act early against threats. This is in Windows 365 and Intune. These agents watch your system always. They look for strange things. When they find a threat, they act fast. Microsoft Defender XDR works with these agents. This gives strong threat protection. It makes your Windows security better. These agents can cut off bad devices. They can block bad traffic. They can start automated incident response. This means threats are found faster. They are stopped faster.

Streamlining Identity and Access with AI

AI makes identity and access easier. It works across Windows 365 and Intune. AI agents can set up users automatically. They can remove users automatically. They enforce access rules. This is based on the situation. For example, an AI agent can see odd logins. It can then ask for more proof. This makes your compliance stronger. It also makes overall security better. You manage user identities better. This ensures only allowed users. They access your Cloud PCs and data from devices with Microsoft 365 apps.

Pros and Cons of Microsoft's Agentic AI Frameworks

Context: when planning to deploy microsoft 365 copilot across an enterprise, understanding strengths and trade-offs of Microsoft's agentic AI frameworks helps guide architecture, governance, and rollout decisions.

Pros

  • Tight integration with Microsoft 365: Native connectors and APIs simplify integration when you deploy microsoft 365 copilot across an enterprise, reducing engineering time and friction.
  • Enterprise-grade security and compliance: Built-in support for Microsoft security controls, identity (Azure AD), data residency, and compliance certifications eases regulatory alignment.
  • Centralized governance: Frameworks provide policy and control surfaces for controlling agent behavior, permissions, and data access at scale—critical for enterprise deployments.
  • Extensible and modular: Supports custom skills, plugins, and connectors so organizations can tailor agents to specific business workflows when deploying Microsoft 365 Copilot across an enterprise.
  • Operational tooling: Includes monitoring, auditing, and lifecycle management features that make it easier to manage multiple agents and updates in large environments.
  • Enterprise support and ecosystem: Access to Microsoft support, documentation, and partner ecosystem accelerates adoption and problem resolution.

Cons

  • Vendor lock-in risk: Deep integration with Microsoft services can create dependencies that make multi-cloud or non-Microsoft strategies harder and more costly.
  • Complexity at scale: Designing, securing, and coordinating many agentic components across large organizations requires significant architecture, governance, and operational effort.
  • Cost considerations: Licensing, compute, and integration costs can grow substantially when you deploy microsoft 365 copilot across an enterprise and extend agent capabilities.
  • Limited transparency/explainability: Agentic behaviors driven by large models can be hard to interpret; enterprises may need extra tooling and processes to meet auditability requirements.
  • Data exposure risks: Misconfigured connectors or overly permissive agent privileges can cause sensitive data access or leakage if governance is weak.
  • Customization vs. maintenance trade-off: Highly customized agents deliver value but increase long-term maintenance, testing, and validation burdens.

Microsoft's AI Vision: The Agentic OS

Microsoft's AI vision is changing Windows. It will become an "Agentic OS." This means AI will do hard tasks. It goes beyond simple chatbots. This is a big step forward. You will get a smarter system. It will be more active.

Windows Evolution as an AI-Native Platform

Microsoft sees Windows as an AI-native platform. This means AI is built in. Key changes make this happen. The Model Context Protocol (MCP) is part of the system. This open system lets AI agents connect. They link with apps. They link with tools. They link with system tasks. This automates daily work for you. The Windows On-Device Registry (ODR) also helps. This safe system stores agent links. It gives you control. Native Agent Connectors are built-in. They work with File Explorer. They work with System Settings. They let agents change settings. They manage files. They help you. With Microsoft 365 Copilot chat, you always stay in control. Cloud management with Intune builds a base. This supports new AI. It gets your systems ready.

Copilot's Role in the Agentic Ecosystem

Copilot is key in this AI system. It is an AI helper. It makes you more productive. It helps you be creative. It gives live help. It gives ideas. It gives useful tips. Copilot is the main chat tool. You use it to talk to many AI agents. These include agents for Sales. Also for Service. And for Finance. Copilot makes digital work better. This is in Word. Also in Outlook. And in Teams. And in Copilot Chat. It uses company info. This is from Microsoft Graph. It also provides AI tools. This includes basic models. It includes systems to run agents. These agents work safely. They follow company rules.

Cloud-Powered Flexibility and AI Optimization

Cloud power makes AI flexible. It makes it better. You can get more resources. This is when Microsoft 365 Copilot is included. AI agents The installation of the Microsoft 365 is essential; you need them. Windows 365 is a strong cloud platform. It hosts these smart agents. This gives them power. You get the best work. This cloud way means constant updates. Your AI stays modern. Microsoft uses its big cloud. This gives smooth connections. It gives high uptime. You get reliable AI. It works well. This also makes your platform more secure.

Future-Proofing Endpoints with Agentic Capabilities

You need to prepare your devices. This ensures they adapt. Devices will use chat AI. They will use Copilots. They will use agentic AI. This changes devices. They go from simple tools. They become active. They become smart. They become self-reliant. This means your devices guess needs. They fix problems alone. They make users happier. This keeps your Windows 365 new. It gets them ready for the future.

Securing the Agentic Future: Trust and Resilience

You must make your agentic future safe. Trust and strength are very important. Microsoft guides its AI work. It uses main rules. These rules make sure AI is good.

Microsoft's Responsible AI Principles

Microsoft builds its AI systems. They stand on strong good ideas. These rules make sure your Microsoft 365 Copilot includes access to necessary resources. AI agents act well.

Responsible AI Principle Core Meaning for Agentic Systems
Fairness It treats every user fairly. It does not create bias. It does not make bias worse. This is based on context. It is not based on sensitive traits.
Reliability and Safety It always works well. This is true in different situations. It works for unusual cases. It works for unexpected user actions.
Privacy and Security It keeps user data safe. It only uses allowed information. It follows safety rules.
Inclusiveness It helps many different users. This includes special needs. It includes language differences in the context of devices with Microsoft 365 apps. It includes different tech skills.
Transparency It clearly shows what it can do. It shows its limits when devices must have Microsoft 365 apps installed. It shows how it uses data. It shows how it makes results. Users stay informed.
Accountability People oversee it. It follows rules. Developers watch it. This is for its whole life.

These rules make sure your AI systems are fair. They are also reliable, particularly when integrated with Microsoft 365 desktop apps automatically. They keep things private. They help everyone.

Building Trust in Autonomous IT Systems

You need to trust IT systems that work alone. Microsoft builds this trust. It uses several ways. These ways make sure agents do what they should.

Mechanism Dimension Specific Control / Capability Purpose & Trust Impact
Scope & Intent It works within set limits. It sticks to its job. It makes sure agents do only what is planned.
Human Control People check high-risk actions. They approve them. They can stop them. People still watch over things. They are responsible for big choices.
Observability There are clear logs. There are feedback loops. There is checking. You can fully see what the system does. You can see how it works.
Data Protection It only accesses what it needs. It manages data life. It stops private data from leaking. It stops too many agents.
Threat Mitigation It has many layers of defense. It stops agent takeover. It stops bad inputs. It can shut down safely. It can stand up to attacks.

Microsoft also uses many layers of defense. This is for the model. It is for safety systems. It is for application layers. You use Microsoft's full security. You use its management system. This makes sure systems that work alone. They can be watched. They are strong. They are trusted by design.

Common Mistakes People Make About Building Trust in Autonomous IT Systems

When organizations plan to deploy Microsoft 365 Copilot across an enterprise, building trust in autonomous IT systems is critical. Below are frequent mistakes teams make and why they matter.

  • Assuming technical accuracy equals trust — Believing that model accuracy or system uptime alone creates trust ignores usability, transparency, and alignment with business goals.
  • Neglecting clear governance and accountability — Failing to define ownership, escalation paths, and policies for autonomous actions leads to confusion and mistrust when decisions have consequences.
  • Underestimating the need for explainability — Providing outputs without understandable explanations makes stakeholders reluctant to rely on the system for decisions or workflows.
  • Skipping stakeholder engagement and training — Not involving end users, managers, and compliance teams early prevents adoption and creates fear of unintended outcomes.
  • Overpromising capabilities — Marketing autonomous features as fully autonomous or infallible sets unrealistic expectations and erodes trust when limitations surface.
  • Ignoring contextual validation and testing — Deploying without thorough scenario-based testing across real-world contexts results in inconsistent behavior that undermines confidence.
  • Not integrating human-in-the-loop controls — Removing checkpoints or review mechanisms for critical decisions reduces perceived safety and increases risk.
  • Poorly managed change and communication — Failing to communicate why changes are made, how the system behaves, and how users should interact with it breeds suspicion and resistance.
  • Neglecting privacy and security assurances — Overlooking data handling, consent, and access controls creates legal and reputational risks that destroy trust quickly.
  • Relying solely on metrics instead of qualitative feedback — Using only performance dashboards misses user sentiment and edge-case issues that affect trust.
  • Insufficient monitoring and post-deployment validation — Not continuously monitoring outputs, drift, and failure modes prevents timely corrections and erodes long-term reliability.
  • One-size-fits-all policies — Applying uniform rules across diverse teams or departments ignores context-specific needs and reduces perceived relevance and trust.
  • Failing to align incentives — If stakeholders are not rewarded for using or validating the system, adoption stalls and trust does not materialize.
  • Neglecting interoperability and integration pain — Systems that don't integrate smoothly into existing workflows cause friction that diminishes confidence and usage.
  • Viewing trust as a one-time effort — Treating trust-building as a launch activity rather than an ongoing practice leads to degradation as systems and environments evolve.

Advanced Threat Protection for AI Workloads

Keeping your AI workloads safe from threats is key. Microsoft gives advanced safety steps. These steps protect your AI systems.

  • Real-time Threat Detection: Microsoft Defender for AI and Defender for Cloud work together. They watch live. They stop AI attacks. This includes jailbreaks. It includes model poisoning. It includes prompt injections.
  • Correlated Threat Intelligence: Microsoft Defender XDR links security alerts. These are from AI workloads. They link to wider company threat data. This gives you a full view. It shows possible threats.
  • Graph-Based Investigations: Microsoft Sentinel gives data with graph context. This makes checking AI security problems easier.
  • Automated Security Operations: Security Copilot helps Security Operations Center (SOC) teams discover the Microsoft 365 Copilot. It uses AI. It makes finding threats faster. It makes fixing them faster.

These tools give strong security. They fight cyberattacks. They make your overall security stronger.

Ensuring Business Continuity and Recovery

You must make sure your agentic systems keep working. You must make sure they can recover. This means making your IT strong. You need plans for bad things. Early security checks help stop problems. Microsoft focuses on constant security. It focuses on security that works alone, much like the Microsoft 365 Copilot features. This makes sure your systems can get better fast. It means less downtime. It protects your data. Strong Windows security. Good plans for problems. These are key for the future. They keep your security strong.

Agentic systems change IT. They make it work alone. They make it safe. They make it fast. Microsoft's AI vision adds these to Windows 365. It adds them to Intune. This makes a strong Microsoft AI system. You need to accept this change. It will happen. Learn about these new ideas. Get your company ready. AI agents will manage your digital stuff. They will keep it safe. Windows 365 and Intune will start this change.

FAQ

get started with copilot: microsoft 365 copilot app and deployment

What is Microsoft 365 Copilot and how does it relate to existing Microsoft 365 apps?

Microsoft 365 Copilot is an AI assistant integrated into Microsoft 365 apps (Word, Excel, PowerPoint, Outlook, Teams and more) that helps generate content, summarize information, and automate workflows; you can add Copilot to your existing Microsoft 365 environment so it enhances the productivity features already in Microsoft 365 apps and across Microsoft products.

What are the primary steps to deploy Microsoft 365 Copilot across an enterprise?

A deployment overview for the Microsoft 365 Copilot typically includes confirming eligibility and licensing, planning access to Copilot through the Microsoft 365 admin center, preparing enterprise data and security controls, configuring network requirements (365 URLs and IP address and Microsoft 365 content delivery network), testing using pilot groups, and using Microsoft Configuration Manager, Microsoft 365 apps admin center or Microsoft Store strategies to install the Microsoft 365 Copilot app to devices.

Which licenses are required to use Copilot across Microsoft 365?

Access to Copilot requires a Microsoft 365 Copilot license (or Microsoft 365 Copilot for Business where applicable) in addition to eligible Microsoft 365 subscriptions; review the Microsoft 365 Copilot license guidance in your tenant to confirm which users need Copilot for Business or enterprise plans.

Can I deploy Copilot for business and Copilot in enterprise environments at the same time?

Yes—Copilot for Business and enterprise AI deployments can coexist; you should plan licensing, tenant configuration, and data isolation carefully so enterprise data and Dynamics 365 or other back-end systems are accessible only to the appropriate Copilot instances per your compliance policy.

How do I configure Copilot access and permissions in the Microsoft 365 admin center?

Use the Microsoft 365 admin center to assign Copilot licenses, manage user groups, and configure organizational settings for Copilot access; you can control who can use Copilot features, adjust data access policies, and integrate with existing identity and compliance controls.

What network and firewall settings are required for Copilot (365 URLs and IP address)?

To deploy the Microsoft 365 Copilot reliably you must allow traffic to specified 365 URLs and IP address ranges and permit access to the Microsoft 365 content delivery network; consult Microsoft’s published 365 URLs and IP address lists and update firewall/proxy rules so Copilot services and Copilot app updates can connect.

How does Copilot Studio factor into enterprise deployment and customization?

Microsoft Copilot Studio (also called Copilot Studio or Microsoft Copilot Studio) provides tools to customize prompts, connectors, and integrations so you can tailor Copilot features to internal workflows; use it during pilot phases to build targeted experiences and accelerate copilot adoption.

What is the recommended approach for Copilot adoption across the organization?

Copilot adoption is best driven by a phased rollout: identify champions, run pilot groups, provide training via Microsoft Learn, collect feedback, refine Copilot features using Copilot Studio, and scale deployment while tracking usage and business outcomes to maximize get value from Copilot.

Can I automatically install the Microsoft 365 Copilot app to devices?

Yes—administrators can automatically install the Microsoft 365 Copilot app to devices using Microsoft Endpoint Manager, Microsoft Configuration Manager, or the Microsoft 365 apps admin center; you can also publish the copilot app through the Microsoft Store for managed devices depending on your distribution model.

Which versions of Microsoft 365 apps are required to support Copilot (for example, Microsoft 365 apps version 2511)?

Copilot requires recent builds of Microsoft 365 apps; in many cases Microsoft 365 apps version 2511 or later and devices on the monthly enterprise channel or configured channels supported by Microsoft are recommended—check Microsoft documentation for specific version requirements and compatibility.

How do I ensure data security and protect enterprise data when enabling Copilot?

Protect enterprise data by applying conditional access, data loss prevention (DLP), sensitivity labels, and tenant-level controls; configure Copilot to respect data boundaries, audit access to enterprise data and use Copilot Studio settings and Microsoft 365 admin center policies to enforce compliance and retention requirements.

Will Copilot integrate with Dynamics 365 and other line-of-business systems?

Yes—Copilot can be integrated with Dynamics 365 and other enterprise systems through connectors and Copilot Studio customizations so it can surface contextual business data, generate insights, and assist users working across Microsoft products and Dynamics 365 workflows.

How does Copilot chat differ from Copilot features embedded in apps?

Copilot chat provides conversational interactions across enterprise contexts—summarization, clarifying questions, and step-by-step guidance—while Copilot features embedded in Microsoft 365 apps offer contextual assistance inside Word, Excel, Outlook and Teams; both use the same underlying AI assistant capabilities but optimized for different experiences.

What are common troubleshooting steps if users cannot access the Copilot app?

Verify license assignment, ensure the Copilot app is installed on the device (or available in Microsoft Store), confirm network rules allow connections to required 365 URLs and IP address ranges, check that Microsoft 365 apps version meets minimum requirements, and review Microsoft 365 admin center logs for configuration errors or blocked access to enterprise AI features.

How do I measure ROI and get value from Copilot after deployment?

Track adoption metrics, time saved on common tasks, user feedback, changes in productivity KPIs, and specific business outcomes like faster report cycles; combine telemetry from Microsoft 365 admin center and usage reports with qualitative feedback to measure how Copilot delivers value.

Is Copilot comparable to ChatGPT Enterprise and how should organizations choose?

Copilot vs ChatGPT: Copilot is deeply integrated into Microsoft 365 and enterprise data flows, whereas ChatGPT Enterprise is a more general conversational AI solution; choose based on integration needs—if you need Copilot app functionality across Microsoft products, embedded experience and enterprise data connectors, Copilot is the preferred option.

What training resources are available to help employees use Copilot effectively?

Use Microsoft Learn courses, internal training sessions, guided in-app experiences, and Copilot adoption materials from Microsoft to help users learn copilot features and best practices; create role-based training that shows how to use Copilot within specific Microsoft 365 apps relevant to each team.

How do I handle updates and channels like monthly enterprise channel or devices on the semi-annual enterprise?

Manage Microsoft 365 apps update channels centrally; using the monthly enterprise channel gives faster access to new copilot features while semi-annual enterprise provides greater stability—align your update cadence with testing results and organizational risk tolerance when planning copilot adoption.

Can I restrict which users or devices get Copilot first?

Yes—use license assignment in the Microsoft 365 admin center, device targeting with Microsoft Endpoint Manager or Configuration Manager, and pilot groups to roll out Copilot incrementally so early adopters and departments can test features before a company-wide deployment.

What privacy and compliance considerations apply to Copilot using enterprise data?

Copilot use of enterprise data must adhere to corporate privacy policies, regulatory requirements, and data residency rules; configure tenant-level data controls, audit logs, and Copilot Studio settings to ensure data governance and compliance when Copilot accesses or summarizes enterprise data.

How do I add Copilot to my existing Microsoft 365 tenant?

Add Copilot to your existing Microsoft 365 tenant by purchasing the necessary Copilot licenses, enabling Copilot services in the Microsoft 365 admin center, configuring access and network requirements, and deploying the Microsoft 365 Copilot app to target devices and users.

Are there any Microsoft 365 URLs and IP address or CDN considerations for global deployments?

Global deployments must allow traffic to Microsoft 365 content delivery network endpoints and region-specific 365 URLs and IP address ranges; validate CDN access and latency considerations so Copilot features and content delivery work reliably for distributed users.

What role does the Microsoft Store play in deploying the Copilot app to devices?

The Microsoft Store can be used to distribute the copilot app for managed or BYOD devices; administrators can publish or recommend the Microsoft 365 Copilot app via store policies or use centralized deployment tools for controlled installations instead of relying solely on the Store.

How do I use Copilot Studio to tailor Copilot for business processes?

Copilot Studio lets you create and configure prompts, integrate connectors to line-of-business systems (including Dynamics 365), define trusted data sources, and test workflows so Copilot delivers tailored assistance that aligns with specific business processes and accelerates copilot adoption.

Can Copilot be disabled temporarily or for specific users if needed?

Yes—administrators can revoke Copilot licenses or block Copilot access for specific users through the Microsoft 365 admin center, adjust compliance settings, or disable features at tenant or group level to control access during investigations, training, or compliance reviews.

How should I plan a pilot program to evaluate Copilot before full deployment?

Plan a pilot by selecting representative user groups, defining success metrics, provisioning Copilot licenses, using Copilot Studio for targeted configurations, monitoring usage and feedback via Microsoft 365 admin center reports, and iterating before scaling to broader copilot adoption.

🚀 Want to be part of m365.fm?

Then stop just listening… and start showing up.

👉 Connect with me on LinkedIn and let’s make something happen:

  • 🎙️ Be a podcast guest and share your story
  • 🎧 Host your own episode (yes, seriously)
  • 💡 Pitch topics the community actually wants to hear
  • 🌍 Build your personal brand in the Microsoft 365 space

This isn’t just a podcast — it’s a platform for people who take action.

🔥 Most people wait. The best ones don’t.

👉 Connect with me on LinkedIn and send me a message:
"I want in"

Let’s build something awesome 👊

1
00:00:00,000 --> 00:00:04,020
Picture a global enterprise with offices across Europe, North America and Asia.

2
00:00:04,020 --> 00:00:05,840
The board has asked for an AI plan.

3
00:00:05,840 --> 00:00:08,020
The CEO wants a visible result this quarter.

4
00:00:08,020 --> 00:00:12,120
Procurement has negotiated the co-pilot agreement, the licenses are approved, and the first

5
00:00:12,120 --> 00:00:15,400
pilot group has already been told they'll get access next month.

6
00:00:15,400 --> 00:00:16,880
On paper, the project looks simple.

7
00:00:16,880 --> 00:00:22,160
Assign licenses, send a launch email, run a few training sessions, show usage in a dashboard,

8
00:00:22,160 --> 00:00:24,760
then the CISO asks a question that changes the meeting.

9
00:00:24,760 --> 00:00:27,960
What can co-pilot expose through the permissions we already have?

10
00:00:27,960 --> 00:00:29,740
Nobody in the room has a clean answer.

11
00:00:29,740 --> 00:00:32,400
The SharePoint estate has grown for more than a decade.

12
00:00:32,400 --> 00:00:34,480
There are project sites with no named owner.

13
00:00:34,480 --> 00:00:37,900
Teams created for initiatives that ended years ago still hold documents.

14
00:00:37,900 --> 00:00:40,620
OneDrive folders have been shared through old links.

15
00:00:40,620 --> 00:00:43,820
Some groups include external guests who no one has reviewed recently.

16
00:00:43,820 --> 00:00:47,700
A finance library has broken inheritance because someone needed to share one file quickly,

17
00:00:47,700 --> 00:00:49,520
which is how these things often start.

18
00:00:49,520 --> 00:00:51,040
Co-pilot doesn't invent new access.

19
00:00:51,040 --> 00:00:54,480
It works within the access a user already has, but that's exactly the issue.

20
00:00:54,480 --> 00:00:58,100
For years, weak permissions can hide in plain sight because most people don't know where

21
00:00:58,100 --> 00:00:59,100
to look.

22
00:00:59,100 --> 00:01:03,120
A document may sit in an old site, buried in a library with a vague name.

23
00:01:03,120 --> 00:01:06,960
Accessible to far more people than intended, it exists, but it's hard to find.

24
00:01:06,960 --> 00:01:08,200
Co-pilot changes that experience.

25
00:01:08,200 --> 00:01:12,520
It can make information easier to discover, connect, summarize, and reuse.

26
00:01:12,520 --> 00:01:13,720
That's the business promise.

27
00:01:13,720 --> 00:01:16,600
It can also make old oversharing far easier to act on.

28
00:01:16,600 --> 00:01:21,000
So the CIOC speed, the CSOC's exposure, finance sees a growing license commitment.

29
00:01:21,000 --> 00:01:24,040
Business leaders see people already using public AI tools because they're trying to get

30
00:01:24,040 --> 00:01:25,040
work done faster.

31
00:01:25,040 --> 00:01:26,140
All of them are right.

32
00:01:26,140 --> 00:01:28,480
The real question isn't whether you can deploy Co-pilot.

33
00:01:28,480 --> 00:01:29,480
You can.

34
00:01:29,480 --> 00:01:32,960
The question is whether you can turn it into a secure, scalable business capability rather

35
00:01:32,960 --> 00:01:37,160
than an expensive pilot that creates a few good demos, a spike in support tickets, and

36
00:01:37,160 --> 00:01:39,560
a difficult conversation at the next renewal.

37
00:01:39,560 --> 00:01:41,200
This isn't a software decision alone.

38
00:01:41,200 --> 00:01:42,720
It's an operating model decision.

39
00:01:42,720 --> 00:01:47,660
You're deciding how your organization will use AI with its data, how it will manage risk,

40
00:01:47,660 --> 00:01:53,800
who will own outcomes, and what evidence leadership will require before it spends more.

41
00:01:53,800 --> 00:01:55,760
Executive summary, the consultants answer.

42
00:01:55,760 --> 00:01:57,440
My recommendation is straightforward.

43
00:01:57,440 --> 00:02:02,160
To deploy Microsoft, 365 Co-pilot in phases, don't treat it as a tenant-wide license event.

44
00:02:02,160 --> 00:02:05,920
Start with a small number of business scenarios where work is repeatable, the process has a clear

45
00:02:05,920 --> 00:02:09,160
owner, the data risk is understood, and you can measure the result.

46
00:02:09,160 --> 00:02:13,360
At the same time, assess identity, data access, information structure, governance, security

47
00:02:13,360 --> 00:02:17,240
controls, and the support model needed to run this as an enterprise service.

48
00:02:17,240 --> 00:02:18,680
That sequence matters.

49
00:02:18,680 --> 00:02:21,680
Most Co-pilot programs don't fail because users can't open the app.

50
00:02:21,680 --> 00:02:25,120
They stall because the organization hasn't decided what good looks like, who owns the

51
00:02:25,120 --> 00:02:28,360
risk or how it will prove value beyond people saying they like the tool.

52
00:02:28,360 --> 00:02:30,680
The biggest risk is existing oversharing.

53
00:02:30,680 --> 00:02:31,960
Co-pilot respects permissions.

54
00:02:31,960 --> 00:02:35,880
If someone can access a file, co-pilot may use that file as context for that person.

55
00:02:35,880 --> 00:02:38,720
So your permission model becomes your AI access model.

56
00:02:38,720 --> 00:02:44,080
Old broad groups, unmanaged guest access, stale sites, and unclear ownership don't become

57
00:02:44,080 --> 00:02:45,920
less relevant because AI arrives.

58
00:02:45,920 --> 00:02:47,240
They become more visible.

59
00:02:47,240 --> 00:02:48,240
Here's the trade-off.

60
00:02:48,240 --> 00:02:52,280
You can move fast by limiting the initial scope using low-risk cohorts and control data

61
00:02:52,280 --> 00:02:54,680
sources when you repair the wider estate.

62
00:02:54,680 --> 00:02:58,760
Before you can attempt broad access immediately and accept that governance debt will arrive

63
00:02:58,760 --> 00:03:02,200
during the rollout when the cost and pressure are much higher.

64
00:03:02,200 --> 00:03:05,600
The biggest opportunity is not AI productivity in the abstract.

65
00:03:05,600 --> 00:03:09,880
It's reducing time lost in repeatable knowledge work, preparing for meetings, finding the

66
00:03:09,880 --> 00:03:14,400
current version of a policy, turning a long email chain into decisions and actions, creating

67
00:03:14,400 --> 00:03:16,600
a first draft from approved material.

68
00:03:16,600 --> 00:03:20,440
Pulling together a project update from information that already exists across Microsoft

69
00:03:20,440 --> 00:03:21,760
365.

70
00:03:21,760 --> 00:03:26,080
Those are useful scenarios because they connect co-pilot to work that people already do.

71
00:03:26,080 --> 00:03:30,440
A good deployment produces measurable workflow gains, control expansion, and a spend that

72
00:03:30,440 --> 00:03:31,920
leadership can defend.

73
00:03:31,920 --> 00:03:35,920
It also produces something less visible but more important, an operating model for the next

74
00:03:35,920 --> 00:03:39,760
wave of AI capabilities including agents, connectors, and automation.

75
00:03:39,760 --> 00:03:41,840
You should expect some scenarios to fail.

76
00:03:41,840 --> 00:03:42,840
That's fine.

77
00:03:42,840 --> 00:03:46,400
A pilot should tell you where co-pilot helps, where the process needs repair, where training

78
00:03:46,400 --> 00:03:49,720
falls short, and where controls need tightening.

79
00:03:49,720 --> 00:03:54,240
If every pilot scenario succeeds, you probably select only the easy ones, which is not the

80
00:03:54,240 --> 00:03:55,640
same as proving you can scale.

81
00:03:55,640 --> 00:03:56,640
So let's zoom out.

82
00:03:56,640 --> 00:04:01,040
Leadership in IT often look at the same co-pilot deployment and see different problems.

83
00:04:01,040 --> 00:04:05,680
Until those views meet in one business decision, the technology discussion stays noisy.

84
00:04:05,680 --> 00:04:07,680
Why co-pilot projects start now?

85
00:04:07,680 --> 00:04:11,240
Co-pilot projects rarely begin because an organization woke up one morning with a perfect

86
00:04:11,240 --> 00:04:12,240
AI strategy.

87
00:04:12,240 --> 00:04:16,080
They begin because the board asks what the company is doing with AI, employees are already

88
00:04:16,080 --> 00:04:20,800
trying public tools, and competitors are talking about faster service, lower cost, and more productive

89
00:04:20,800 --> 00:04:21,800
teams.

90
00:04:21,800 --> 00:04:25,040
The pressure is real and doing nothing can look like a decision in itself.

91
00:04:25,040 --> 00:04:26,840
You may also have a quieter problem.

92
00:04:26,840 --> 00:04:30,520
People already spend large parts of their day looking for information, reading long email

93
00:04:30,520 --> 00:04:34,520
threads, turning meeting notes into actions, and creating first drafts from material that

94
00:04:34,520 --> 00:04:36,320
exists somewhere in the business.

95
00:04:36,320 --> 00:04:37,720
Those are not new problems.

96
00:04:37,720 --> 00:04:41,880
Co-pilot puts a very visible option in front of leadership to reduce that friction, but

97
00:04:41,880 --> 00:04:43,680
it changes the shape of the conversation.

98
00:04:43,680 --> 00:04:47,160
Your data is already spread across teams, SharePoint, OneDrive, and Exchange.

99
00:04:47,160 --> 00:04:49,360
A project decision may sit in a team's chat.

100
00:04:49,360 --> 00:04:51,400
The formal document may sit in SharePoint.

101
00:04:51,400 --> 00:04:53,440
The latest approval may exist in email.

102
00:04:53,440 --> 00:04:57,360
A person preparing for a customer meeting may have to piece all of that together manually,

103
00:04:57,360 --> 00:04:58,680
often under time pressure.

104
00:04:58,680 --> 00:05:01,440
This is where Microsoft 365 co-pilot can be useful.

105
00:05:01,440 --> 00:05:06,800
It works in the context of work already happening across the Microsoft 365 estate, rather than

106
00:05:06,800 --> 00:05:11,800
asking users to move content into a separate AI tool every time they need help.

107
00:05:11,800 --> 00:05:14,920
That convenience is also why the deployment decision carries weight.

108
00:05:14,920 --> 00:05:18,760
A standalone chat tool can be useful for generic drafting or public research.

109
00:05:18,760 --> 00:05:20,640
Co-pilot's business case is different.

110
00:05:20,640 --> 00:05:24,880
Its potential value comes from helping people work with the document's conversations, meetings,

111
00:05:24,880 --> 00:05:28,080
and relationships that already shape their daily decisions.

112
00:05:28,080 --> 00:05:31,480
So leadership sees an opportunity to reduce friction in knowledge work.

113
00:05:31,480 --> 00:05:35,160
They want to know whether proposal teams can respond faster, whether managers can spend

114
00:05:35,160 --> 00:05:39,320
less time assembling status reports, whether sales teams can prepare for customer conversations

115
00:05:39,320 --> 00:05:43,440
with less manual research, whether employees can recover time from meetings that create

116
00:05:43,440 --> 00:05:44,960
more follow-up than progress.

117
00:05:44,960 --> 00:05:46,680
Those are fair questions.

118
00:05:46,680 --> 00:05:48,880
It sees the other side of the same promise.

119
00:05:48,880 --> 00:05:52,960
More usage means more demand for help, more questions about what co-pilot can access, more

120
00:05:52,960 --> 00:05:57,760
pressure on identity controls, and more concern when an answer draws from content that a user

121
00:05:57,760 --> 00:06:00,400
did not realize they could reach.

122
00:06:00,400 --> 00:06:02,400
Security teams don't want vague reassurance.

123
00:06:02,400 --> 00:06:06,520
They want to know which controls apply, what evidence exists, who reviews exceptions,

124
00:06:06,520 --> 00:06:08,520
and what happens when something goes wrong.

125
00:06:08,520 --> 00:06:09,840
Violence has a different concern.

126
00:06:09,840 --> 00:06:12,160
Should every employee receive a license?

127
00:06:12,160 --> 00:06:16,240
Or should licenses go first to roles where the work pattern and potential benefit are clear?

128
00:06:16,240 --> 00:06:20,520
A broad rollout can create momentum, but it can also create a large recurring cost

129
00:06:20,520 --> 00:06:23,600
before the organization has proved that work actually changed.

130
00:06:23,600 --> 00:06:24,760
Here's the trade-off.

131
00:06:24,760 --> 00:06:29,280
Targeted licensing gives you more control and clearer evidence, but it can create frustration

132
00:06:29,280 --> 00:06:31,400
among employees who want access.

133
00:06:31,400 --> 00:06:35,520
Broad licensing creates a sense of fairness and speed, but it often turns the value discussion

134
00:06:35,520 --> 00:06:38,960
into an argument about usage reports rather than business outcomes.

135
00:06:38,960 --> 00:06:40,760
In practice, both approaches can work.

136
00:06:40,760 --> 00:06:42,720
The choice depends on what you're trying to learn first.

137
00:06:42,720 --> 00:06:46,840
If your immediate goal is to prove value, start where there's a defined workflow and an

138
00:06:46,840 --> 00:06:48,360
accountable business leader.

139
00:06:48,360 --> 00:06:52,520
If your goal is broad AI literacy, you may choose wider access, but you still need a

140
00:06:52,520 --> 00:06:55,640
way to separate exploration from measurable business benefit.

141
00:06:55,640 --> 00:06:58,280
The real question is not whether co-pilot has useful features.

142
00:06:58,280 --> 00:07:02,160
The real question is, what business decision you are trying to improve, what work you expect

143
00:07:02,160 --> 00:07:06,240
to change, and what proof leadership will accept before you expand?

144
00:07:06,240 --> 00:07:11,360
Until that is clear, technical readiness becomes a checklist without a purpose.

145
00:07:11,360 --> 00:07:13,960
Executive strategy to find the business decision.

146
00:07:13,960 --> 00:07:16,120
Before you assess the tenant, define the decision.

147
00:07:16,120 --> 00:07:18,040
Why are you deploying co-pilot in the first place?

148
00:07:18,040 --> 00:07:19,960
Not why the board thinks AI matters.

149
00:07:19,960 --> 00:07:22,280
Not why Microsoft has put it on every roadmap.

150
00:07:22,280 --> 00:07:23,680
What change is in the business?

151
00:07:23,680 --> 00:07:24,840
If this deployment works?

152
00:07:24,840 --> 00:07:28,480
If the answer is, we want people to be more productive, you haven't defined a decision

153
00:07:28,480 --> 00:07:29,480
yet.

154
00:07:29,480 --> 00:07:30,480
You've described a hope.

155
00:07:30,480 --> 00:07:33,800
Useful strategy starts with a specific business problem.

156
00:07:33,800 --> 00:07:37,760
Maybe proposal teams lose too much time finding prior content and turning it into a first

157
00:07:37,760 --> 00:07:38,760
draft.

158
00:07:38,760 --> 00:07:42,880
Maybe managers spend too much time after meetings chasing actions across email and teams.

159
00:07:42,880 --> 00:07:46,200
Maybe service teams can't find the latest approved answer while a customer waits.

160
00:07:46,200 --> 00:07:47,240
Those are different problems.

161
00:07:47,240 --> 00:07:50,680
They need different owners, measures, controls, and rollout plans.

162
00:07:50,680 --> 00:07:54,240
The first task in a consulting engagement is to separate demand from value.

163
00:07:54,240 --> 00:07:56,040
Lots of employees may want co-pilot.

164
00:07:56,040 --> 00:07:57,280
That tells you there is interest.

165
00:07:57,280 --> 00:08:00,080
It does not tell you whether organization should invest first.

166
00:08:00,080 --> 00:08:05,240
You need an executive sponsor who can make decisions across the business, not just approve a budget.

167
00:08:05,240 --> 00:08:09,120
This person needs enough authority to bring business leaders, security, finance, legal

168
00:08:09,120 --> 00:08:13,040
HR, and IT into the same conversation when the trade-offs get uncomfortable.

169
00:08:13,040 --> 00:08:15,040
A CIO can sponsor the platform.

170
00:08:15,040 --> 00:08:16,360
That makes sense.

171
00:08:16,360 --> 00:08:21,240
But if the CIO is the only sponsor, the project can quickly become an IT rollout with a business

172
00:08:21,240 --> 00:08:22,240
audience.

173
00:08:22,240 --> 00:08:25,840
Then IT owns the license count to the support queue and the risk while business leaders

174
00:08:25,840 --> 00:08:29,280
wait for someone else to explain the value that model rarely holds.

175
00:08:29,280 --> 00:08:32,920
The sponsor needs to ask business leaders a more direct question, where do you have work

176
00:08:32,920 --> 00:08:37,440
that is repeated often enough, painful enough, and clear enough to improve, start, there?

177
00:08:37,440 --> 00:08:42,080
A good initial scenario has a known process, a group of users who perform it often, and

178
00:08:42,080 --> 00:08:44,680
an accountable leader who can say whether the work improved.

179
00:08:44,680 --> 00:08:45,840
It also has a baseline.

180
00:08:45,840 --> 00:08:48,720
Without one, every claim after launch becomes opinion.

181
00:08:48,720 --> 00:08:53,640
Consider a sales or bid team that repeatedly prepares responses from approved company material.

182
00:08:53,640 --> 00:08:57,480
The potential benefit may come from faster discovery, faster first drafts, and less time

183
00:08:57,480 --> 00:08:59,960
recreating content that already exists.

184
00:08:59,960 --> 00:09:02,200
But you still need to know how the team works today.

185
00:09:02,200 --> 00:09:05,400
How long does it take to prepare a first response, where does rework occur?

186
00:09:05,400 --> 00:09:06,400
Who approves the output?

187
00:09:06,400 --> 00:09:08,880
Does faster drafting improve the time to submit?

188
00:09:08,880 --> 00:09:11,400
Or does it simply move the waiting time to another stage?

189
00:09:11,400 --> 00:09:13,040
That brings us to the real trade-off.

190
00:09:13,040 --> 00:09:16,840
Copilot can reduce effort within a task, but reduced effort does not automatically create

191
00:09:16,840 --> 00:09:17,840
financial return.

192
00:09:17,840 --> 00:09:22,360
If people save time but use it to absorb more work, improve quality or reduce delays, that

193
00:09:22,360 --> 00:09:23,840
may still be worthwhile.

194
00:09:23,840 --> 00:09:28,040
But you need to state which outcome you expect and who will turn recovered capacity into

195
00:09:28,040 --> 00:09:29,040
business value.

196
00:09:29,040 --> 00:09:31,800
Otherwise, the ROI model becomes a time sheet fantasy.

197
00:09:31,800 --> 00:09:32,800
Everyone has seen those.

198
00:09:32,800 --> 00:09:36,600
They look excellent in a steering pack and disappear when finance asks where the money

199
00:09:36,600 --> 00:09:37,600
went.

200
00:09:37,600 --> 00:09:41,280
Your strategy should name a short portfolio of scenarios, not a long wish list.

201
00:09:41,280 --> 00:09:46,320
For each scenario, document the business owner, user group, current workflow, expected change,

202
00:09:46,320 --> 00:09:50,080
data sensitivity constraints, and the measure that will decide whether it continues.

203
00:09:50,080 --> 00:09:53,600
You also need decision rights who can approve a new pilot scenario.

204
00:09:53,600 --> 00:09:56,160
Who accepts a risk that cannot be fixed before launch?

205
00:09:56,160 --> 00:09:58,880
Who decides that a department receives more licenses?

206
00:09:58,880 --> 00:10:03,120
Who can stop a scenario if it creates poor output, weak adoption, or an unacceptable control

207
00:10:03,120 --> 00:10:04,120
issue?

208
00:10:04,120 --> 00:10:06,360
These decisions shouldn't sit in a vague working group.

209
00:10:06,360 --> 00:10:08,160
A working group is useful for coordination.

210
00:10:08,160 --> 00:10:11,840
It is not useful when someone needs to say yes, no or not yet.

211
00:10:11,840 --> 00:10:16,320
In practice, I would expect the first strategy deliverable to include an executive AI strategy,

212
00:10:16,320 --> 00:10:19,680
a scenario portfolio, and a clear record of decision rights.

213
00:10:19,680 --> 00:10:23,640
It should fit on pages that senior leaders will actually read while linking to the detail

214
00:10:23,640 --> 00:10:25,400
that delivery teams need.

215
00:10:25,400 --> 00:10:26,840
Keep the strategy practical.

216
00:10:26,840 --> 00:10:30,200
It should state what you will do first, what you will not do yet, what evidence you need

217
00:10:30,200 --> 00:10:33,320
before expansion, and what conditions would make you stop.

218
00:10:33,320 --> 00:10:34,640
That last part matters.

219
00:10:34,640 --> 00:10:38,640
A deployment plan, without a stop condition, is usually a spending plan wearing a project

220
00:10:38,640 --> 00:10:39,640
badge.

221
00:10:39,640 --> 00:10:41,960
You're not trying to predict every future co-pilot use case.

222
00:10:41,960 --> 00:10:45,880
You're building a way to make good decisions as those use cases arrive.

223
00:10:45,880 --> 00:10:48,800
Strategy without a view of readiness becomes a wish list.

224
00:10:48,800 --> 00:10:52,520
Next, you need to test whether the environment can support the business promise you've just

225
00:10:52,520 --> 00:10:54,040
made.

226
00:10:54,040 --> 00:10:56,160
Success criteria and the investment case.

227
00:10:56,160 --> 00:11:00,360
Once you have a scenario portfolio, you need to decide what success means before the first

228
00:11:00,360 --> 00:11:02,120
license is assigned.

229
00:11:02,120 --> 00:11:03,120
This sounds obvious.

230
00:11:03,120 --> 00:11:05,080
It rarely happens with enough discipline.

231
00:11:05,080 --> 00:11:09,720
Teams often start with a broad claim such as, "Co-pilot will save time."

232
00:11:09,720 --> 00:11:13,680
Then they look at usage after launch, collect a few positive comments, and call the pilot

233
00:11:13,680 --> 00:11:15,080
a success.

234
00:11:15,080 --> 00:11:21,240
The project team has no shared answer.

235
00:11:21,240 --> 00:11:23,320
Start with the outcome, not the tool activity.

236
00:11:23,320 --> 00:11:26,640
For each scenario, define the business measure that should move.

237
00:11:26,640 --> 00:11:29,920
That might be the cycle time for creating a customer proposal.

238
00:11:29,920 --> 00:11:33,640
It might be the time between a meeting and a agreed action plan.

239
00:11:33,640 --> 00:11:36,680
It might be fewer hours spent finding approved policy content.

240
00:11:36,680 --> 00:11:41,280
In a service team, it may be faster response times with no drop-in-quality or compliance.

241
00:11:41,280 --> 00:11:43,800
Time saved matters, but it isn't enough on its own.

242
00:11:43,800 --> 00:11:48,080
If a manager saves 30 minutes each day and spends it answering more email, you may have improved

243
00:11:48,080 --> 00:11:49,080
their day.

244
00:11:49,080 --> 00:11:51,160
You haven't automatically created a financial benefit.

245
00:11:51,160 --> 00:11:55,640
If that same time lets the manager handle more customer work, reduces the need for overtime,

246
00:11:55,640 --> 00:11:59,720
speeds a decision, or improves the quality of a controlled process, then you can begin

247
00:11:59,720 --> 00:12:01,920
to build a credible investment case.

248
00:12:01,920 --> 00:12:04,080
That distinction needs to be explicit.

249
00:12:04,080 --> 00:12:05,080
Ask the business owner.

250
00:12:05,080 --> 00:12:07,400
If we recover this capacity, what will change?

251
00:12:07,400 --> 00:12:10,520
If they cannot answer, don't claim a hard financial return.

252
00:12:10,520 --> 00:12:13,720
Record it as a productivity or employee experience benefit instead.

253
00:12:13,720 --> 00:12:17,460
Those benefits can still justify investment, but they should not get dressed up as cash

254
00:12:17,460 --> 00:12:19,880
savings because that makes the whole case weaker.

255
00:12:19,880 --> 00:12:21,280
You also need a baseline.

256
00:12:21,280 --> 00:12:23,960
Before the pilot starts, observe the current workflow.

257
00:12:23,960 --> 00:12:26,120
Don't rely only on what people remember.

258
00:12:26,120 --> 00:12:27,640
Measure a sample of real work.

259
00:12:27,640 --> 00:12:30,080
How long does the task take from start to finish?

260
00:12:30,080 --> 00:12:34,000
How much of that time involves searching, drafting, checking, waiting for approval or correcting

261
00:12:34,000 --> 00:12:35,000
mistakes?

262
00:12:35,000 --> 00:12:36,000
Where does work get stuck?

263
00:12:36,000 --> 00:12:39,160
How often does someone redo it because the first version was incomplete or based on

264
00:12:39,160 --> 00:12:40,480
old information?

265
00:12:40,480 --> 00:12:42,520
This is where consultants slow the room down.

266
00:12:42,520 --> 00:12:46,920
A workflow that appears to take two hours may contain 20 minutes of actual effort and

267
00:12:46,920 --> 00:12:48,480
100 minutes of waiting.

268
00:12:48,480 --> 00:12:52,640
Co-pilot may improve the effort, but it won't fix an approval queue, unclear ownership,

269
00:12:52,640 --> 00:12:57,080
or a process that requires three people to revise the same document because nobody agreed

270
00:12:57,080 --> 00:12:58,560
on the source of truth.

271
00:12:58,560 --> 00:12:59,640
Measure quality as well.

272
00:12:59,640 --> 00:13:03,880
For a proposal scenario, quality might mean fewer factual corrections, less rework from

273
00:13:03,880 --> 00:13:06,800
reviewers, and a higher rate of on-time submissions.

274
00:13:06,800 --> 00:13:11,120
For meeting follow-up, it might mean action items with a named owner and due date confirmed

275
00:13:11,120 --> 00:13:12,320
by the meeting lead.

276
00:13:12,320 --> 00:13:16,840
For information retrieval, it might mean users can find approved content faster without relying

277
00:13:16,840 --> 00:13:19,400
on informal messages or outdated copies.

278
00:13:19,400 --> 00:13:21,720
Then separate leading measures from outcome measures.

279
00:13:21,720 --> 00:13:25,440
Leading measures tell you whether people are using the scenario in the intended way.

280
00:13:25,440 --> 00:13:28,240
Are pilot users returning to co-pilot for the task?

281
00:13:28,240 --> 00:13:30,280
Are they using it within the relevant apps?

282
00:13:30,280 --> 00:13:31,800
Are they completing the enablement?

283
00:13:31,800 --> 00:13:34,320
Are managers reinforcing the new workflow?

284
00:13:34,320 --> 00:13:36,280
Outcome measures tell you whether the work changed.

285
00:13:36,280 --> 00:13:37,280
Did cycle time fall?

286
00:13:37,280 --> 00:13:38,880
Did quality hold or improve?

287
00:13:38,880 --> 00:13:40,520
Did the team increase throughput?

288
00:13:40,520 --> 00:13:42,000
Did customer response improve?

289
00:13:42,000 --> 00:13:43,320
Did operational risk reduce?

290
00:13:43,320 --> 00:13:44,320
You need both.

291
00:13:44,320 --> 00:13:46,920
A group can use co-pilot heavily and produce no business result.

292
00:13:46,920 --> 00:13:51,120
Another group may use it less often but gain real value in a high friction task.

293
00:13:51,120 --> 00:13:54,560
Prompt counts and chat activity can help you understand engagement, but they are not the

294
00:13:54,560 --> 00:13:55,720
investment case.

295
00:13:55,720 --> 00:13:58,760
For every scenario, define three decision points before launch.

296
00:13:58,760 --> 00:14:00,320
First, what would make you continue?

297
00:14:00,320 --> 00:14:01,960
Second, what would make you expand?

298
00:14:01,960 --> 00:14:05,120
Third, what would make you stop or remediate before spending more?

299
00:14:05,120 --> 00:14:06,840
Make these conditions concrete.

300
00:14:06,840 --> 00:14:11,360
For example, expansion may require that a scenario meets a target for cycle time improvement,

301
00:14:11,360 --> 00:14:16,560
maintains agreed quality levels, shows repeat use among the pilot group and has no unresolved

302
00:14:16,560 --> 00:14:17,880
control issues.

303
00:14:17,880 --> 00:14:22,520
A stop decision may follow if output quality creates too much rework if users do not change

304
00:14:22,520 --> 00:14:26,560
the workflow after proper support, or if the scenario depends on data that cannot yet

305
00:14:26,560 --> 00:14:27,960
be used safely.

306
00:14:27,960 --> 00:14:29,960
That creates a disciplined business case.

307
00:14:29,960 --> 00:14:34,040
Your initial ROI model should show the full cost, not just the license.

308
00:14:34,040 --> 00:14:38,000
Include enablement support, measurement, governance work, and the time needed from business

309
00:14:38,000 --> 00:14:39,760
leaders and pilot users.

310
00:14:39,760 --> 00:14:43,480
Finance should be able to see each assumption, challenge it, and understand what needs to happen

311
00:14:43,480 --> 00:14:45,040
for the forecast to hold.

312
00:14:45,040 --> 00:14:49,800
The deliverables here are a KPI framework, an initial ROI model, and an executive success

313
00:14:49,800 --> 00:14:50,800
charter.

314
00:14:50,800 --> 00:14:54,320
Together, they define the evidence you will collect and the decisions that evidence will support.

315
00:14:54,320 --> 00:14:57,120
Now you can test whether the tenant can support the promise.

316
00:14:57,120 --> 00:15:00,320
AI readiness assessment scored a real starting point.

317
00:15:00,320 --> 00:15:05,440
You now have a business case, a scenario portfolio, and a clear view of the evidence you need.

318
00:15:05,440 --> 00:15:07,200
The next question is less comfortable.

319
00:15:07,200 --> 00:15:09,520
Are you actually ready to run the pilot you designed?

320
00:15:09,520 --> 00:15:10,520
Not?

321
00:15:10,520 --> 00:15:11,880
Do we own Microsoft 365?

322
00:15:11,880 --> 00:15:12,880
Not?

323
00:15:12,880 --> 00:15:13,880
Can we assign licenses?

324
00:15:13,880 --> 00:15:17,320
The question is whether your current environment can support the specific scenarios you want

325
00:15:17,320 --> 00:15:22,040
to test without creating a voidable risk, poor user experience, or operational work that

326
00:15:22,040 --> 00:15:24,040
nobody planned for.

327
00:15:24,040 --> 00:15:28,080
An AI readiness assessment should not become a workshop where every team rates itself highly

328
00:15:28,080 --> 00:15:29,520
because it owns a tool.

329
00:15:29,520 --> 00:15:31,120
That happens more than people admit.

330
00:15:31,120 --> 00:15:33,440
Security says conditional access exists.

331
00:15:33,440 --> 00:15:35,520
Collaboration says SharePoint has governance.

332
00:15:35,520 --> 00:15:37,080
Identity says MFA is deployed.

333
00:15:37,080 --> 00:15:39,920
Each team says the data is in Microsoft 365.

334
00:15:39,920 --> 00:15:43,520
Each statement may be true, but none of them answers whether the controls work together

335
00:15:43,520 --> 00:15:46,840
for the people, data, and workflows entering the pilot.

336
00:15:46,840 --> 00:15:47,840
Readiness needs evidence.

337
00:15:47,840 --> 00:15:51,760
You assess identity, data access, information architecture, governance, security, post-year

338
00:15:51,760 --> 00:15:53,800
operations, and adoption capacity.

339
00:15:53,800 --> 00:15:56,800
Then you compare the result against the scope you intend to launch.

340
00:15:56,800 --> 00:16:00,600
A tenant may be ready for a controlled pilot with a small group using approved sites while

341
00:16:00,600 --> 00:16:02,960
being nowhere near ready for a broad enterprise rollout.

342
00:16:02,960 --> 00:16:04,240
Those are two different decisions.

343
00:16:04,240 --> 00:16:06,040
Start by defining the assessment boundary.

344
00:16:06,040 --> 00:16:10,080
Each business scenarios are in scope, which user groups will receive licenses, which regions

345
00:16:10,080 --> 00:16:14,320
are involved, which collaboration spaces contain the information they need, which systems

346
00:16:14,320 --> 00:16:17,800
sit outside Microsoft 365 that may affect their work.

347
00:16:17,800 --> 00:16:21,800
Without a boundary, the assessment becomes a massive enterprise cleanup program.

348
00:16:21,800 --> 00:16:24,560
That can be useful, but it will delay every practical decision.

349
00:16:24,560 --> 00:16:29,200
Your goal here is to find what could prevent a safe, useful pilot, and what needs a longer

350
00:16:29,200 --> 00:16:30,200
remediation plan.

351
00:16:30,200 --> 00:16:34,000
Think of a typical enterprise that wants co-pilot to help project managers prepare status

352
00:16:34,000 --> 00:16:35,000
updates.

353
00:16:35,000 --> 00:16:37,360
Access every document in every sharepoint site.

354
00:16:37,360 --> 00:16:43,200
You would assess the sites, teams, mailboxes, access patterns, and users tied to that workflow.

355
00:16:43,200 --> 00:16:47,720
Then you would identify what must change before the pilot, what can be monitored during

356
00:16:47,720 --> 00:16:51,080
it, and what must remain outside the initial scope.

357
00:16:51,080 --> 00:16:53,080
That is risk-based assessment.

358
00:16:53,080 --> 00:16:54,880
For each domain, ask three questions.

359
00:16:54,880 --> 00:16:56,120
First, is there a hard blocker?

360
00:16:56,120 --> 00:17:00,440
A hard blocker means you should not proceed with the planned scope until the issue is resolved.

361
00:17:00,440 --> 00:17:04,400
An example might be a user population without the identity controls your security policy

362
00:17:04,400 --> 00:17:08,960
requires, or a pilot scenario that depends on locations with unmanaged access and no

363
00:17:08,960 --> 00:17:10,920
accountable owner.

364
00:17:10,920 --> 00:17:12,640
Second, is there a manageable gap?

365
00:17:12,640 --> 00:17:16,520
This means the pilot can proceed if you narrow the scope, put a temporary control in place,

366
00:17:16,520 --> 00:17:19,400
or assign a clear remediation owner with a deadline.

367
00:17:19,400 --> 00:17:21,160
Third, is this an accepted risk?

368
00:17:21,160 --> 00:17:23,520
Some gaps will not be fixed before the pilot.

369
00:17:23,520 --> 00:17:26,920
That is normal, but someone with the right authority must accept the risk, understand

370
00:17:26,920 --> 00:17:30,080
the impact, and agree to the boundary around it.

371
00:17:30,080 --> 00:17:32,160
Accepted risk is not the same as ignored risk.

372
00:17:32,160 --> 00:17:33,160
One has an owner.

373
00:17:33,160 --> 00:17:34,160
It comes a surprise.

374
00:17:34,160 --> 00:17:37,360
A useful scorecard does not hide behind one maturity number.

375
00:17:37,360 --> 00:17:41,680
A single score may look tidy in an executive slide, but it can conceal the real issue.

376
00:17:41,680 --> 00:17:44,360
You might have strong identity controls and weak data ownership.

377
00:17:44,360 --> 00:17:48,480
You might have solid security tools, but no operational process to handle user questions,

378
00:17:48,480 --> 00:17:49,880
exceptions, or incidents.

379
00:17:49,880 --> 00:17:52,120
A green average can hide a red problem.

380
00:17:52,120 --> 00:17:54,600
Score each area by business impact and exposure.

381
00:17:54,600 --> 00:17:59,040
If a low-risk scenario uses a limited content set with named owners, an information architecture

382
00:17:59,040 --> 00:18:00,760
gap may be tolerable for the pilot.

383
00:18:00,760 --> 00:18:04,880
If the same gap affects sensitive commercial data across thousands of sites, it carries

384
00:18:04,880 --> 00:18:07,440
a different weight, context decides the rating.

385
00:18:07,440 --> 00:18:10,880
The assessment should also test the difference between policy and practice.

386
00:18:10,880 --> 00:18:15,080
A policy may require site ownership, but how many sites actually have an active owner?

387
00:18:15,080 --> 00:18:19,120
A standard may require labels, but do users apply them in ways that reflect how the business

388
00:18:19,120 --> 00:18:20,120
works?

389
00:18:20,120 --> 00:18:24,080
A governance forum may exist, but can it make a decision within the pace of a pilot?

390
00:18:24,080 --> 00:18:26,760
This is where the real starting point becomes visible.

391
00:18:26,760 --> 00:18:30,120
By the end of this phase, you should have an AI readiness scorecard that lists the

392
00:18:30,120 --> 00:18:35,280
assessed areas, evidence reviewed, risks found, business impact, current control state,

393
00:18:35,280 --> 00:18:37,560
remediation priority, and named owner.

394
00:18:37,560 --> 00:18:40,800
It should make clear what you can launch now, what needs repair first, and what remains

395
00:18:40,800 --> 00:18:41,800
out of scope.

396
00:18:41,800 --> 00:18:44,240
Would you approve your pilot based on that scorecard?

397
00:18:44,240 --> 00:18:48,320
If the answer depends on verbal reassurance from three different teams, you are not ready

398
00:18:48,320 --> 00:18:49,320
yet.

399
00:18:49,320 --> 00:18:53,400
If it shows clear boundaries, owned gaps, and evidence that the intended scope can operate

400
00:18:53,400 --> 00:18:55,720
safely, you can move forward with confidence.

401
00:18:55,720 --> 00:18:59,360
The next area deserves close attention, because identity decides who co-pilot can act

402
00:18:59,360 --> 00:19:01,160
for and what it can reach.

403
00:19:01,160 --> 00:19:03,960
Identity, licensing, and core service readiness.

404
00:19:03,960 --> 00:19:07,760
Identity comes before co-pilot because co-pilot works in the context of a user.

405
00:19:07,760 --> 00:19:09,280
It acts on behalf of that user.

406
00:19:09,280 --> 00:19:11,160
It searches what that user can search.

407
00:19:11,160 --> 00:19:13,600
It brings together information that user can reach.

408
00:19:13,600 --> 00:19:18,080
So if identity is weak, the rest of the deployment sits on weak ground, start with EntraID

409
00:19:18,080 --> 00:19:19,080
health.

410
00:19:19,080 --> 00:19:21,840
You need to know whether your pilot users have strong authentication, whether conditional

411
00:19:21,840 --> 00:19:25,560
access applies in the way you expect, and whether device posture affects access to

412
00:19:25,560 --> 00:19:27,560
Microsoft 365 services.

413
00:19:27,560 --> 00:19:29,200
MFA should be a rollout gate.

414
00:19:29,200 --> 00:19:33,640
If someone can access co-pilot from an unmanaged or risky device without the controls your organization

415
00:19:33,640 --> 00:19:37,120
expects, fix that before you make the service available.

416
00:19:37,120 --> 00:19:39,560
Conditional access needs the same level of review.

417
00:19:39,560 --> 00:19:41,560
Many enterprises have policies that grew over time.

418
00:19:41,560 --> 00:19:45,440
There may be exclusions created for a business unit, a legacy application, a service account,

419
00:19:45,440 --> 00:19:47,240
or an urgent project from years ago.

420
00:19:47,240 --> 00:19:50,280
The policy still exists because removing it feels risky.

421
00:19:50,280 --> 00:19:51,280
That is understandable.

422
00:19:51,280 --> 00:19:54,560
It also means you need to know whether the pilot population falls into one of those gaps.

423
00:19:54,560 --> 00:19:55,960
Check privileged access as well.

424
00:19:55,960 --> 00:20:00,080
A co-pilot deployment does not create a new reason for weak admin practice.

425
00:20:00,080 --> 00:20:04,880
Review who can assign licenses, change access groups, alter sharing settings, or modify policies

426
00:20:04,880 --> 00:20:06,400
that affect the pilot.

427
00:20:06,400 --> 00:20:07,720
Use least privilege.

428
00:20:07,720 --> 00:20:10,520
Keep privileged roles separate from ordinary user accounts.

429
00:20:10,520 --> 00:20:14,360
Make sure emergency access accounts are governed, tested, and not quietly used as a normal

430
00:20:14,360 --> 00:20:15,360
workaround.

431
00:20:15,360 --> 00:20:18,400
That last one always sounds obvious until you find it in the logs.

432
00:20:18,400 --> 00:20:19,960
Then move to licensing.

433
00:20:19,960 --> 00:20:22,840
The technical task of assigning a co-pilot license is simple.

434
00:20:22,840 --> 00:20:24,160
The management decision is not.

435
00:20:24,160 --> 00:20:28,320
You need to confirm that each target user has an eligible based license and that your license

436
00:20:28,320 --> 00:20:31,000
assignment method matches the rollout model.

437
00:20:31,000 --> 00:20:33,240
Individual assignment may work for a small pilot.

438
00:20:33,240 --> 00:20:37,120
Once you move into controlled waves, group based licensing through enter ID security groups

439
00:20:37,120 --> 00:20:41,240
usually gives you more control, clearer ownership, and a better audit path.

440
00:20:41,240 --> 00:20:44,160
Build those groups around the business decision.

441
00:20:44,160 --> 00:20:47,760
Don't create a group called co-pilot users and let it grow without rules.

442
00:20:47,760 --> 00:20:52,800
Create groups linked to a scenario, a department, a region, or an expansion wave.

443
00:20:52,800 --> 00:20:53,800
Name and owner.

444
00:20:53,800 --> 00:20:54,800
State the entry criteria.

445
00:20:54,800 --> 00:20:56,440
State who can remove a user.

446
00:20:56,440 --> 00:21:00,160
This gives finance and IT a clean view of who has a license and why.

447
00:21:00,160 --> 00:21:01,440
You also need reclaim rules.

448
00:21:01,440 --> 00:21:06,000
What happens if someone changes role, leaves the organization, moves out of the pilot, or

449
00:21:06,000 --> 00:21:08,320
never uses the license in the agreed period?

450
00:21:08,320 --> 00:21:12,640
If you cannot answer that, your pilot becomes a permanent license pool by accident.

451
00:21:12,640 --> 00:21:16,000
Licenses should support a business scenario, not become a status symbol.

452
00:21:16,000 --> 00:21:17,680
Core service readiness comes next.

453
00:21:17,680 --> 00:21:22,200
Microsoft 365 co-pilot depends on services your organization may already run, but already

454
00:21:22,200 --> 00:21:25,160
run is not the same as ready for this use.

455
00:21:25,160 --> 00:21:28,440
Check Exchange Online mailbox readiness for the intended experience.

456
00:21:28,440 --> 00:21:31,320
Check team settings that affect meeting content and transcripts.

457
00:21:31,320 --> 00:21:36,360
Review SharePoint and OneDrive availability, user provisioning, and service health expectations.

458
00:21:36,360 --> 00:21:39,240
Microsoft Graph forms the context layer across these services.

459
00:21:39,240 --> 00:21:41,640
You don't need to turn this into a technical lecture.

460
00:21:41,640 --> 00:21:42,760
The point is simple.

461
00:21:42,760 --> 00:21:48,160
If the information that supports a workflow lives in Exchange, Teams, SharePoint, and OneDrive.

462
00:21:48,160 --> 00:21:52,200
The quality of access and service configuration across those places affects the experience

463
00:21:52,200 --> 00:21:53,640
people receive.

464
00:21:53,640 --> 00:21:55,240
Client readiness matters too.

465
00:21:55,240 --> 00:21:59,520
Review the Microsoft 365 Apps Update channel across your target devices.

466
00:21:59,520 --> 00:22:02,480
Co-pilot experience depends on supported versions and supported channels.

467
00:22:02,480 --> 00:22:07,000
A common problem appears when the organization has a cautious update policy, while the business

468
00:22:07,000 --> 00:22:09,600
expects new co-pilot capabilities immediately.

469
00:22:09,600 --> 00:22:11,480
That is a governance choice, not a product fault.

470
00:22:11,480 --> 00:22:12,840
Here's the trade-off.

471
00:22:12,840 --> 00:22:17,120
Current channel may give users access to capabilities sooner, but it demands a support model

472
00:22:17,120 --> 00:22:19,000
that can absorb faster change.

473
00:22:19,000 --> 00:22:22,720
Monthly enterprise channel offers a more controlled rhythm, which may suit organizations

474
00:22:22,720 --> 00:22:24,800
that need more testing and communication.

475
00:22:24,800 --> 00:22:29,480
What matters is that you choose deliberately and explain the implication to users.

476
00:22:29,480 --> 00:22:31,200
Hybrid identity needs special attention.

477
00:22:31,200 --> 00:22:33,480
A typical enterprise may have cloud identities.

478
00:22:33,480 --> 00:22:37,000
Synchronized on-premises identities, guest accounts, dominant accounts, shared mailboxes,

479
00:22:37,000 --> 00:22:40,600
service accounts, and more than one tenant due to an acquisition.

480
00:22:40,600 --> 00:22:44,840
Each of those can affect access, licensing, support, and audit evidence.

481
00:22:44,840 --> 00:22:46,600
This identity is deserved a direct review.

482
00:22:46,600 --> 00:22:47,600
Who sponsors them?

483
00:22:47,600 --> 00:22:48,600
Are they still active?

484
00:22:48,600 --> 00:22:49,600
What can they access?

485
00:22:49,600 --> 00:22:51,640
Are they in groups inherited from an old project?

486
00:22:51,640 --> 00:22:53,720
The same applies to dormant user accounts.

487
00:22:53,720 --> 00:22:57,360
An account that should have been disabled is not a minor housekeeping issue when access to

488
00:22:57,360 --> 00:22:59,400
enterprise data sits behind it.

489
00:22:59,400 --> 00:23:00,920
Don't license service accounts.

490
00:23:00,920 --> 00:23:03,560
Don't treat shared mailboxes like ordinary users.

491
00:23:03,560 --> 00:23:07,360
Don't assume every identity and enter ID belongs in the co-pilot population.

492
00:23:07,360 --> 00:23:10,960
You're deliverable is a technical readiness register and a licensing strategy.

493
00:23:10,960 --> 00:23:14,640
It should show service dependencies, identity gaps, update channel decisions,

494
00:23:14,640 --> 00:23:19,120
licensing groups, cost owners, and remediation actions with named people behind them.

495
00:23:19,120 --> 00:23:20,880
Service readiness gets users through the door.

496
00:23:20,880 --> 00:23:25,200
It does not fix poor information structure once they are inside.

497
00:23:25,200 --> 00:23:28,080
Information architecture, data quality, and technical debt.

498
00:23:28,080 --> 00:23:31,800
Once identity and service readiness are understood, look at the information people expect

499
00:23:31,800 --> 00:23:33,600
co-pilot to work with.

500
00:23:33,600 --> 00:23:35,040
The first question is simple.

501
00:23:35,040 --> 00:23:36,800
Where does work actually live?

502
00:23:36,800 --> 00:23:39,320
Don't ask where the policy says it should live.

503
00:23:39,320 --> 00:23:42,960
Ask where people go when they need the latest proposal, a decision from last month,

504
00:23:42,960 --> 00:23:46,360
a customer commitment, or the approved version of a policy.

505
00:23:46,360 --> 00:23:49,800
In many enterprises, the answer is spread across several places.

506
00:23:49,800 --> 00:23:51,320
The project team says one thing.

507
00:23:51,320 --> 00:23:53,200
A SharePoint library holds another version.

508
00:23:53,200 --> 00:23:55,640
A shared mailbox contains the latest approval.

509
00:23:55,640 --> 00:23:59,560
Someone's one drive has the working draft because the formal site became too hard to use.

510
00:23:59,560 --> 00:24:02,480
Co-pilot can help people work with the information it can find.

511
00:24:02,480 --> 00:24:06,280
It cannot decide which of five conflicting versions is authoritative just because one

512
00:24:06,280 --> 00:24:07,880
has a more confident file name.

513
00:24:07,880 --> 00:24:10,800
That's a data quality problem, but not in the narrow sense.

514
00:24:10,800 --> 00:24:15,520
This is not mainly about removing blank rows from a spreadsheet or enforcing folder names.

515
00:24:15,520 --> 00:24:17,040
It is about business context.

516
00:24:17,040 --> 00:24:18,800
Does the document state its owner?

517
00:24:18,800 --> 00:24:19,960
Is there a current version?

518
00:24:19,960 --> 00:24:21,080
Does it have a clear purpose?

519
00:24:21,080 --> 00:24:25,600
Can a user tell whether it is draft guidance, a historical record, or an approved operational

520
00:24:25,600 --> 00:24:26,600
standard?

521
00:24:26,600 --> 00:24:30,280
If the answer is no, co-pilot may retrieve content that looks relevant, but sends the

522
00:24:30,280 --> 00:24:32,080
user in the wrong direction.

523
00:24:32,080 --> 00:24:33,360
The output may read well.

524
00:24:33,360 --> 00:24:35,680
That doesn't make the underlying information right.

525
00:24:35,680 --> 00:24:39,240
Start the assessment by mapping the information parts for the pilot scenarios.

526
00:24:39,240 --> 00:24:42,720
If you want project managers to prepare status updates, identify where they collect project

527
00:24:42,720 --> 00:24:43,720
information today.

528
00:24:43,720 --> 00:24:47,240
If you want account teams to prepare for customer meetings, identify the approved sources

529
00:24:47,240 --> 00:24:48,240
they rely on.

530
00:24:48,240 --> 00:24:52,320
If you want HR to help managers answer policy questions, identify the policy sources that

531
00:24:52,320 --> 00:24:54,800
should be used and the old sites that should not.

532
00:24:54,800 --> 00:24:56,480
That gives you a practical boundary.

533
00:24:56,480 --> 00:24:58,880
Then look for the patterns that create confusion.

534
00:24:58,880 --> 00:25:00,280
Unknown sites are common.

535
00:25:00,280 --> 00:25:04,800
So are duplicate libraries, stale teams, old channels, copy documents sets, and shared

536
00:25:04,800 --> 00:25:08,400
mailboxes that have become a shadow knowledge base because nobody agreed where the real

537
00:25:08,400 --> 00:25:10,120
record belongs.

538
00:25:10,120 --> 00:25:13,120
Technical debt rarely arrives as one dramatic failure.

539
00:25:13,120 --> 00:25:15,680
It accumulates through sensible local decisions.

540
00:25:15,680 --> 00:25:18,520
A team creates a new site because the old one is crowded.

541
00:25:18,520 --> 00:25:22,560
A project keeps its team after it ends because deleting it feels unsafe.

542
00:25:22,560 --> 00:25:26,000
A shared mailbox stays active because it contains useful history.

543
00:25:26,000 --> 00:25:30,720
Over time, the organization builds a large volume of content without a reliable way to separate

544
00:25:30,720 --> 00:25:33,000
current business knowledge from old material.

545
00:25:33,000 --> 00:25:34,480
That changes the co-pilot decision.

546
00:25:34,480 --> 00:25:37,320
You do not need to clean the entire tenant before running a pilot.

547
00:25:37,320 --> 00:25:40,440
That approach can become a long delay with no end date.

548
00:25:40,440 --> 00:25:44,680
But you do need to decide what content is suitable for the pilot, what needs repair first,

549
00:25:44,680 --> 00:25:47,680
and what should be excluded until ownership and structure improve.

550
00:25:47,680 --> 00:25:48,680
Here's the trade-off.

551
00:25:48,680 --> 00:25:52,400
Broad access may increase the chance that co-pilot find something useful.

552
00:25:52,400 --> 00:25:57,040
It also increases the chance that it finds stale, duplicate, or poorly governed information.

553
00:25:57,040 --> 00:26:00,040
Restricting the initial scope can reduce the richness of the experience, but it gives

554
00:26:00,040 --> 00:26:04,120
you a more reliable basis for testing whether the workflow itself improves.

555
00:26:04,120 --> 00:26:08,920
Or an initial pilot, choose content areas with named owners, current material, and a clear

556
00:26:08,920 --> 00:26:09,920
business purpose.

557
00:26:09,920 --> 00:26:14,200
Isolate sources where ownership is unclear, where content has not been reviewed, or where

558
00:26:14,200 --> 00:26:17,760
conflicting versions create a real risk of poor decisions.

559
00:26:17,760 --> 00:26:20,520
Metadata can help, but don't turn it into a paperwork exercise.

560
00:26:20,520 --> 00:26:24,080
Use metadata where it helps users and systems distinguish content that matters.

561
00:26:24,080 --> 00:26:28,360
A document type, business area, owner, status, or review date may be enough.

562
00:26:28,360 --> 00:26:32,240
If you ask users to complete 20 fields before saving a file, they will find ways around

563
00:26:32,240 --> 00:26:33,240
it.

564
00:26:33,240 --> 00:26:36,160
In a consistent, it is a predictable response to friction.

565
00:26:36,160 --> 00:26:37,800
Naming standards matter for the same reason.

566
00:26:37,800 --> 00:26:41,480
They should make information easier to identify, not satisfy, an architecture diagram that

567
00:26:41,480 --> 00:26:43,800
nobody outside I.T. understands.

568
00:26:43,800 --> 00:26:47,400
Retention and records rules must also reflect the value and purpose of the content, because

569
00:26:47,400 --> 00:26:50,120
keeping everything forever does not create a better knowledge base.

570
00:26:50,120 --> 00:26:51,200
It creates more noise.

571
00:26:51,200 --> 00:26:55,440
At this point, produce an information architecture gap map and a remediation backlog.

572
00:26:55,440 --> 00:26:59,800
The gap map shows where the pilot workflow depends on trusted information, where that information

573
00:26:59,800 --> 00:27:03,160
lives, who owns it, and what quality issues affect retrieval.

574
00:27:03,160 --> 00:27:07,280
The backlog separates immediate pilot actions from longer term work, with priorities based

575
00:27:07,280 --> 00:27:08,880
on business impact and risk.

576
00:27:08,880 --> 00:27:11,520
Good information architecture reduces future decisions.

577
00:27:11,520 --> 00:27:15,360
Without it, users spend more time asking whether they can trust what co-pilot found.

578
00:27:15,360 --> 00:27:18,640
And the next phase is where that uncertainty becomes far more direct, because permission

579
00:27:18,640 --> 00:27:21,920
cleanup is the work most teams try to postpone.

580
00:27:21,920 --> 00:27:24,520
Data and permission cleanup find the exposure.

581
00:27:24,520 --> 00:27:27,560
This is the phase almost every organization tries to shorten.

582
00:27:27,560 --> 00:27:30,960
Someone will say, "Co-pilot doesn't give anyone new access, so why do we need a permission

583
00:27:30,960 --> 00:27:32,600
cleanup before the pilot?"

584
00:27:32,600 --> 00:27:34,760
Technically, that first part is correct.

585
00:27:34,760 --> 00:27:37,600
Co-pilot works within the permissions already assigned to the user.

586
00:27:37,600 --> 00:27:38,840
Operationally, it misses the point.

587
00:27:38,840 --> 00:27:40,120
The problem is not new access.

588
00:27:40,120 --> 00:27:42,840
The problem is that old access becomes far easier to use.

589
00:27:42,840 --> 00:27:46,520
A user may have had access to a document for years without knowing it existed.

590
00:27:46,520 --> 00:27:50,880
With co-pilot, they can ask a natural question and receive a summary that brings that document

591
00:27:50,880 --> 00:27:52,360
into their working context.

592
00:27:52,360 --> 00:27:55,080
That is why a permission review belongs before broad deployment.

593
00:27:55,080 --> 00:27:57,920
Start with the forms of access that create the largest exposure.

594
00:27:57,920 --> 00:28:00,280
Look for broadly shared share point sites.

595
00:28:00,280 --> 00:28:04,120
That grant access beyond the intended audience anonymous links where they remain allowed

596
00:28:04,120 --> 00:28:06,800
and folders shared from personal one drive locations.

597
00:28:06,800 --> 00:28:08,960
Review guest access with the same discipline.

598
00:28:08,960 --> 00:28:13,200
Every guest should have a sponsor, a business reason, a defined scope and an active end date

599
00:28:13,200 --> 00:28:14,600
or review cycle.

600
00:28:14,600 --> 00:28:19,320
If you cannot explain why a guest still has access, that access should not remain by default.

601
00:28:19,320 --> 00:28:21,080
Then look at inherited permissions.

602
00:28:21,080 --> 00:28:24,880
Inheritance is useful when a site has a clear structure and a stable membership model.

603
00:28:24,880 --> 00:28:29,160
It becomes a problem when people break inheritance to solve one urgent sharing request, then add

604
00:28:29,160 --> 00:28:33,040
direct permissions to folders, files and libraries over several years.

605
00:28:33,040 --> 00:28:36,040
Eventually, nobody can explain who has access or why.

606
00:28:36,040 --> 00:28:37,040
This is common.

607
00:28:37,040 --> 00:28:40,880
It is also manageable if you treat it as an evidence exercise rather than a cleanup campaign

608
00:28:40,880 --> 00:28:42,280
based on guesswork.

609
00:28:42,280 --> 00:28:43,920
Review the groups used to grant access.

610
00:28:43,920 --> 00:28:45,680
Look for names that no longer mean anything.

611
00:28:45,680 --> 00:28:48,680
Look for male enabled groups that have become de facto security controls.

612
00:28:48,680 --> 00:28:50,160
Look for groups with no clear owner.

613
00:28:50,160 --> 00:28:53,960
Look for large nested memberships and groups that still contain people who changed role,

614
00:28:53,960 --> 00:28:56,560
left the business or joined through an old merger.

615
00:28:56,560 --> 00:28:59,900
When somebody says, "We don't know what that group does, so don't touch it," record that

616
00:28:59,900 --> 00:29:00,900
as a risk.

617
00:29:00,900 --> 00:29:02,960
It is not a reason to leave the problem invisible.

618
00:29:02,960 --> 00:29:07,260
The same review needs to cover teams because teams membership often maps to the collaboration

619
00:29:07,260 --> 00:29:09,480
spaces and files behind the experience.

620
00:29:09,480 --> 00:29:13,600
Check private channels, shared channels, old project teams and external members.

621
00:29:13,600 --> 00:29:17,880
Also examine shared mailboxes and common workspaces where teams have stored sensitive operational

622
00:29:17,880 --> 00:29:20,840
knowledge outside the normal document management pattern.

623
00:29:20,840 --> 00:29:23,120
You are not trying to make collaboration difficult.

624
00:29:23,120 --> 00:29:26,840
That matters because permission remediation can become heavy handed very quickly.

625
00:29:26,840 --> 00:29:31,840
If IT removes access without involving the business, users will work around the controls.

626
00:29:31,840 --> 00:29:36,120
They will download files, send attachments, create new unmanaged spaces or keep copies

627
00:29:36,120 --> 00:29:38,000
where nobody intended them to sit.

628
00:29:38,000 --> 00:29:40,880
The better approach uses risk-based triage.

629
00:29:40,880 --> 00:29:44,880
Prioritize content that combines high sensitivity, broad reach, stale ownership and active

630
00:29:44,880 --> 00:29:46,160
business use.

631
00:29:46,160 --> 00:29:50,160
A public project site with low risk material may need attention, but it does not carry

632
00:29:50,160 --> 00:29:55,360
the same urgency as a poorly owned location containing commercial plans, employee information,

633
00:29:55,360 --> 00:29:58,760
legal material, source code or financial records.

634
00:29:58,760 --> 00:30:00,600
Ask four questions for each exposure.

635
00:30:00,600 --> 00:30:02,760
What data sits here who can reach it today?

636
00:30:02,760 --> 00:30:05,160
Who is accountable for deciding who should reach it?

637
00:30:05,160 --> 00:30:08,440
How actively is the content used that gives you a workable queue?

638
00:30:08,440 --> 00:30:10,840
The data owner decides the intended access model.

639
00:30:10,840 --> 00:30:14,760
The platform team helps apply it, security validates the risk, the project team tracks the

640
00:30:14,760 --> 00:30:15,760
outcome.

641
00:30:15,760 --> 00:30:19,520
This is where accountability stops being a policy word and becomes a real operating

642
00:30:19,520 --> 00:30:20,520
practice.

643
00:30:20,520 --> 00:30:24,640
You may find that the safest pilot choice is not to clean every issue before launch.

644
00:30:24,640 --> 00:30:29,680
Instead, limit pilot users to approved content areas while remediation continues elsewhere.

645
00:30:29,680 --> 00:30:33,280
That is a reasonable trade-off when the scope is controlled and the risk is clear.

646
00:30:33,280 --> 00:30:37,480
What you should not do is ignore broad access because the cleanup looks difficult.

647
00:30:37,480 --> 00:30:42,480
Would you approve an AI tool to summarize and connect information across these access parts

648
00:30:42,480 --> 00:30:45,400
if a user had never seen a clear list of what they could reach?

649
00:30:45,400 --> 00:30:46,800
That is the consultant checkpoint.

650
00:30:46,800 --> 00:30:49,920
If the answer is no, you have worked to do before expanding the scope.

651
00:30:49,920 --> 00:30:54,720
The output from this phase is an oversharing inventory, a remediation plan, and named

652
00:30:54,720 --> 00:30:56,760
owners for each material finding.

653
00:30:56,760 --> 00:30:59,560
The inventory should not be a giant export that nobody reads.

654
00:30:59,560 --> 00:31:03,240
It should show the exposure, the affected business area, the likely impact, the accountable

655
00:31:03,240 --> 00:31:06,240
owner, the required action, and the target date.

656
00:31:06,240 --> 00:31:08,320
Some issues will lead immediate correction.

657
00:31:08,320 --> 00:31:10,240
Others can sit in a controlled backlog.

658
00:31:10,240 --> 00:31:13,920
The difference should be visible, agreed, and defensible.

659
00:31:13,920 --> 00:31:16,280
Permissions answer who can access content today.

660
00:31:16,280 --> 00:31:20,320
To keep that access model from degrading again, you need durable controls around classification,

661
00:31:20,320 --> 00:31:23,320
sharing, and the life of the information itself.

662
00:31:23,320 --> 00:31:25,360
Labels, life cycle, and durable controls.

663
00:31:25,360 --> 00:31:28,080
Cleaning permissions, once, is not governance.

664
00:31:28,080 --> 00:31:30,400
Without durable controls, the same problems return.

665
00:31:30,400 --> 00:31:33,320
A new team gets created with the wrong sharing settings.

666
00:31:33,320 --> 00:31:36,000
A document moves into a less protected location.

667
00:31:36,000 --> 00:31:39,560
Someone shares a sensitive file broadly to solve an urgent request.

668
00:31:39,560 --> 00:31:41,840
Six months later, you are back where you started.

669
00:31:41,840 --> 00:31:44,480
Except the AI estate is larger.

670
00:31:44,480 --> 00:31:47,560
The labels help turn a permission decision into a repeatable control.

671
00:31:47,560 --> 00:31:51,000
But keep the model simple enough that people can use it under normal work pressure.

672
00:31:51,000 --> 00:31:55,320
Most organizations need a small number of labels that employees can understand without opening

673
00:31:55,320 --> 00:31:56,720
a policy document.

674
00:31:56,720 --> 00:32:00,840
Terms such as public, general, confidential, and highly confidential can work if your organization

675
00:32:00,840 --> 00:32:04,720
defines them clearly and connects each label to a real handling rule.

676
00:32:04,720 --> 00:32:07,160
The names matter less than the behavior they trigger.

677
00:32:07,160 --> 00:32:11,560
For example, a highly confidential label may limit external sharing, apply encryption, and

678
00:32:11,560 --> 00:32:13,480
require access to named people.

679
00:32:13,480 --> 00:32:17,840
A general internal label may allow normal internal collaboration but block public access.

680
00:32:17,840 --> 00:32:20,400
Users need to know what choice they are making and why.

681
00:32:20,400 --> 00:32:22,440
Too many labels create false precision.

682
00:32:22,440 --> 00:32:27,200
If an employee has to choose between 12 similar classifications before they can save a document,

683
00:32:27,200 --> 00:32:28,200
they will guess.

684
00:32:28,200 --> 00:32:30,480
Or they will choose the default every time.

685
00:32:30,480 --> 00:32:31,840
That is not a user failure.

686
00:32:31,840 --> 00:32:35,880
That means the control designers ask people to do work that the system should handle for

687
00:32:35,880 --> 00:32:38,400
them, start at the container level where possible.

688
00:32:38,400 --> 00:32:43,240
A SharePoint site, team, or Microsoft 365 group usually represents a business purpose and

689
00:32:43,240 --> 00:32:45,000
a group of people working together.

690
00:32:45,000 --> 00:32:49,160
Apply a container label that sets the expected privacy, external sharing rules, and default

691
00:32:49,160 --> 00:32:50,160
protection.

692
00:32:50,160 --> 00:32:52,680
Then derive file labels from that container by default.

693
00:32:52,680 --> 00:32:54,760
This reduces choices at the point of work.

694
00:32:54,760 --> 00:32:59,240
If a project site is confidential, new files in its main library should inherit that classification

695
00:32:59,240 --> 00:33:01,000
unless there is a justified exception.

696
00:33:01,000 --> 00:33:05,840
A user can still need a more restrictive label for a particular document, but the safe default

697
00:33:05,840 --> 00:33:07,400
should match the workspace.

698
00:33:07,400 --> 00:33:09,760
Every exception needs a path who can change a label.

699
00:33:09,760 --> 00:33:13,560
What happens if a file sensitivity conflicts with the site where it is stored?

700
00:33:13,560 --> 00:33:17,000
Can a user move a highly sensitive document into a general workspace?

701
00:33:17,000 --> 00:33:21,040
What review happens when a label downgrade affects encryption or sharing?

702
00:33:21,040 --> 00:33:23,000
These are not edge cases once you operate at scale.

703
00:33:23,000 --> 00:33:24,160
They are normal work.

704
00:33:24,160 --> 00:33:26,240
Design the route before users find the gap.

705
00:33:26,240 --> 00:33:30,480
Microsoft PerView can support this model through data loss prevention, auto labeling, review

706
00:33:30,480 --> 00:33:31,960
cues and quarantine actions.

707
00:33:31,960 --> 00:33:35,080
The point is not to switch on every policy and hope for the best.

708
00:33:35,080 --> 00:33:39,880
But with the data types that create the clearest business and regulatory exposure, such as credentials,

709
00:33:39,880 --> 00:33:43,200
personal data, financial information or protected source code.

710
00:33:43,200 --> 00:33:47,160
Use DLP to detect conditions that should not be handled by user judgment alone.

711
00:33:47,160 --> 00:33:50,960
If someone labels a file as general, but it contains access tokens or sensitive employee

712
00:33:50,960 --> 00:33:55,240
data, the control should flag it, block an unsafe action where appropriate, or send it

713
00:33:55,240 --> 00:33:56,400
to a review queue.

714
00:33:56,400 --> 00:34:00,520
In higher risk cases, quarantine may be the right response until the content owner,

715
00:34:00,520 --> 00:34:04,400
security team or compliance function can decide what happens next.

716
00:34:04,400 --> 00:34:06,080
And needs human ownership.

717
00:34:06,080 --> 00:34:08,400
A DLP rule can detect patterns.

718
00:34:08,400 --> 00:34:12,440
It may not understand that a code name refers to an unreleased product, or that a finance team

719
00:34:12,440 --> 00:34:16,280
has a legitimate reason to handle information that would trigger a standard policy.

720
00:34:16,280 --> 00:34:19,240
Define exception groups, escalation routes and response times.

721
00:34:19,240 --> 00:34:23,240
Otherwise, your controls either block real work or become ignored alerts.

722
00:34:23,240 --> 00:34:26,680
Then manage the life cycle of the spaces and information itself.

723
00:34:26,680 --> 00:34:29,800
Every active team and share point side should have a named owner.

724
00:34:29,800 --> 00:34:32,920
That owner should periodically confirm that the site remains needed.

725
00:34:32,920 --> 00:34:36,360
Since membership is still appropriate, it's labels still fits, and its sharing settings

726
00:34:36,360 --> 00:34:37,880
reflect the current business need.

727
00:34:37,880 --> 00:34:38,880
This is attestation.

728
00:34:38,880 --> 00:34:40,760
It sounds administrative because it is.

729
00:34:40,760 --> 00:34:44,920
It is also one of the few reliable ways to stop abandoned workspaces from becoming permanent

730
00:34:44,920 --> 00:34:46,880
data risk.

731
00:34:46,880 --> 00:34:48,240
Set a sensible review cycle.

732
00:34:48,240 --> 00:34:51,800
Some sites need frequent review because they hold sensitive content or have changing external

733
00:34:51,800 --> 00:34:52,800
membership.

734
00:34:52,800 --> 00:34:54,520
Others can follow a longer cycle.

735
00:34:54,520 --> 00:34:58,560
If nobody confirms ownership, have a defined route for notification, archive, deletion

736
00:34:58,560 --> 00:34:59,760
and recovery.

737
00:34:59,760 --> 00:35:03,520
Delete business content without a recovery plan and don't retain everything forever because

738
00:35:03,520 --> 00:35:05,720
nobody wants to make a decision.

739
00:35:05,720 --> 00:35:07,720
External sharing follows the same principle.

740
00:35:07,720 --> 00:35:11,800
Allow it where there is a business need but tie it to data sensitivity named accountability

741
00:35:11,800 --> 00:35:12,800
and review.

742
00:35:12,800 --> 00:35:17,480
A supplier collaboration site does not need the same rule set as an internal planning site.

743
00:35:17,480 --> 00:35:21,480
A highly confidential file should not travel through the same sharing path as a general working

744
00:35:21,480 --> 00:35:22,480
document.

745
00:35:22,480 --> 00:35:26,880
The deliverable is an information protection baseline and a life cycle policy set.

746
00:35:26,880 --> 00:35:32,280
It should show the label, taxonomy, default controls, exception process, DLP actions, ownership

747
00:35:32,280 --> 00:35:35,240
rules, review cadence and recovery process.

748
00:35:35,240 --> 00:35:38,480
Once those controls are in place, you have a way to keep the estate from drifting back

749
00:35:38,480 --> 00:35:40,320
toward unmanaged access.

750
00:35:40,320 --> 00:35:42,240
Permissions determine access today.

751
00:35:42,240 --> 00:35:45,760
Security addresses what happens when that access comes under attack.

752
00:35:45,760 --> 00:35:48,520
Security and compliance deploy AI safely.

753
00:35:48,520 --> 00:35:50,800
Security for co-pilot starts with a plain idea.

754
00:35:50,800 --> 00:35:54,800
You do not approve a new way of finding and using enterprise information based on a promise

755
00:35:54,800 --> 00:35:56,640
that users will behave perfectly.

756
00:35:56,640 --> 00:36:00,760
You design controls that verify identity, device, session and access context each time the

757
00:36:00,760 --> 00:36:01,760
service is used.

758
00:36:01,760 --> 00:36:03,120
That is zero trust in practice.

759
00:36:03,120 --> 00:36:05,160
A user's password is not enough.

760
00:36:05,160 --> 00:36:08,680
You need to know whether the sign in carries risk, whether the device meets your management

761
00:36:08,680 --> 00:36:13,520
standard, whether the user is in an approved location or network context, and whether the requested

762
00:36:13,520 --> 00:36:15,680
access makes sense for that account.

763
00:36:15,680 --> 00:36:17,480
MFA is the baseline gate.

764
00:36:17,480 --> 00:36:21,560
If a pilot user cannot meet your MFA standard, they should not receive access.

765
00:36:21,560 --> 00:36:25,480
There is no useful argument for treating that as an optional improvement after launch.

766
00:36:25,480 --> 00:36:28,600
Unmanaged access is where you apply the policy to real working conditions.

767
00:36:28,600 --> 00:36:33,120
You may allow co-pilot from compliant managed devices while limiting access from unmanaged

768
00:36:33,120 --> 00:36:34,120
devices.

769
00:36:34,120 --> 00:36:37,600
You may require stronger controls for users handling confidential data.

770
00:36:37,600 --> 00:36:41,840
You may block high-risk sign-ins or require a fresh authentication challenge when the context

771
00:36:41,840 --> 00:36:42,840
changes.

772
00:36:42,840 --> 00:36:44,920
The policy design must match how people work.

773
00:36:44,920 --> 00:36:47,680
A global sales team may need mobile access while traveling.

774
00:36:47,680 --> 00:36:52,040
A regulated back office team may require a managed device and a restricted session.

775
00:36:52,040 --> 00:36:56,240
If you apply one rule to everyone without understanding the work, users will either lose the ability

776
00:36:56,240 --> 00:36:59,200
to do their job or search for ways around the policy.

777
00:36:59,200 --> 00:37:00,600
Here is the trade-off.

778
00:37:00,600 --> 00:37:04,080
Titer controls can reduce exposure, but they can also create friction.

779
00:37:04,080 --> 00:37:06,920
The answer is not to weaken the controls until users stop complaining.

780
00:37:06,920 --> 00:37:11,120
It is to design different access paths for different risk levels and make those paths

781
00:37:11,120 --> 00:37:13,240
clear before the roll-out starts.

782
00:37:13,240 --> 00:37:17,480
Next, define how you will protect sensitive information during normal use.

783
00:37:17,480 --> 00:37:20,640
DLP should cover the data types that matter to your organization.

784
00:37:20,640 --> 00:37:25,360
That may include credentials, personal data, payment information, financial forecasts,

785
00:37:25,360 --> 00:37:29,680
regulated records, legal material, or non-public source code.

786
00:37:29,680 --> 00:37:31,680
The control question is specific.

787
00:37:31,680 --> 00:37:35,480
What should happen when sensitive content appears in a prompt, a response, a file, or a

788
00:37:35,480 --> 00:37:36,680
sharing action?

789
00:37:36,680 --> 00:37:42,160
Some cases need monitoring, some need a user warning, some need blocking, some need escalation.

790
00:37:42,160 --> 00:37:45,520
Do not treat all DLP events as security incidents.

791
00:37:45,520 --> 00:37:49,200
If every alert reaches the security team, the team will drown in noise and business

792
00:37:49,200 --> 00:37:53,800
users will wait for answers, set severity levels, define who triages each level, agree

793
00:37:53,800 --> 00:37:57,840
what evidence they need, how quickly they need to respond, and who can make an exception.

794
00:37:57,840 --> 00:38:01,560
Or it matters because co-pilot changes how users interact with information.

795
00:38:01,560 --> 00:38:05,840
You need to retain the records required by your internal policy, legal obligations, and

796
00:38:05,840 --> 00:38:07,320
regulatory environment.

797
00:38:07,320 --> 00:38:11,600
That includes being able to investigate an allegation, respond to an e-discovery request,

798
00:38:11,600 --> 00:38:15,720
and understand what activity occurred when a potential data exposure is reported.

799
00:38:15,720 --> 00:38:17,520
Be clear with employees about this.

800
00:38:17,520 --> 00:38:19,960
DLP pilot is not a private personal notebook.

801
00:38:19,960 --> 00:38:23,700
Prompts and responses can fall within your organization's retention, audit, and legal

802
00:38:23,700 --> 00:38:25,020
discovery obligations.

803
00:38:25,020 --> 00:38:26,980
This is not a reason to create fear.

804
00:38:26,980 --> 00:38:30,600
It is a reason to set honest expectations about professional use.

805
00:38:30,600 --> 00:38:32,520
Inside a risk needs the same maturity.

806
00:38:32,520 --> 00:38:36,320
The goal is not to watch every employee or treat normal work as suspicious.

807
00:38:36,320 --> 00:38:40,720
The goal is to detect patterns that suggest a meaningful concern, particularly when sensitive

808
00:38:40,720 --> 00:38:45,480
content, unusual access behavior, and risky actions appear together.

809
00:38:45,480 --> 00:38:49,520
Usually legal HR and privacy teams need an agreed path for handling those cases.

810
00:38:49,520 --> 00:38:52,360
No single team should improvise after an alert arrives.

811
00:38:52,360 --> 00:38:57,280
For global organizations, data residency and regulatory boundaries need an early decision.

812
00:38:57,280 --> 00:38:58,280
Where are your users?

813
00:38:58,280 --> 00:38:59,440
Where does their data need to remain?

814
00:38:59,440 --> 00:39:03,800
Do particular regions have local requirements, labor rules, works councils, or sector controls

815
00:39:03,800 --> 00:39:05,880
that change what you can enable and when?

816
00:39:05,880 --> 00:39:09,040
Multigio may be part of the design, but it does not remove the need to understand local

817
00:39:09,040 --> 00:39:10,520
obligations.

818
00:39:10,520 --> 00:39:12,560
Encryption also requires practical review.

819
00:39:12,560 --> 00:39:16,640
Know which content protection's effect, how information can be used in co-pilot scenarios,

820
00:39:16,640 --> 00:39:19,240
and test the behavior with your actual labels and policies.

821
00:39:19,240 --> 00:39:23,720
A control that exists only in a design document is not a control you can rely on.

822
00:39:23,720 --> 00:39:26,600
You also need an incident path for AI specific events.

823
00:39:26,600 --> 00:39:30,160
What happens if co-pilot produces harmful or misleading content that enters a business

824
00:39:30,160 --> 00:39:31,160
process?

825
00:39:31,160 --> 00:39:34,600
What happens if a user receives information they should not have been able to discover?

826
00:39:34,600 --> 00:39:38,480
What happens when a malicious prompt attempts to manipulate an AI experience through content?

827
00:39:38,480 --> 00:39:40,080
It is asked to process?

828
00:39:40,080 --> 00:39:42,040
Don't promise that these events cannot happen.

829
00:39:42,040 --> 00:39:46,240
Define how you detect, contain, investigate, communicate, and learn from them.

830
00:39:46,240 --> 00:39:48,200
For a pilot, run a tabletop exercise.

831
00:39:48,200 --> 00:39:52,160
Give the teams a realistic scenario, then ask who does what in the first hour?

832
00:39:52,160 --> 00:39:55,920
If the response depends on finding the right people in an emergency chat, the process is

833
00:39:55,920 --> 00:39:56,920
not ready.

834
00:39:56,920 --> 00:40:00,200
The deliverable is a co-pilot security assessment and risk register.

835
00:40:00,200 --> 00:40:03,480
It should state the controls you have, the gaps you accept, the threats you monitor,

836
00:40:03,480 --> 00:40:07,040
the people who own each response, and the evidence you retain.

837
00:40:07,040 --> 00:40:10,600
Security controls only work when they fit the architecture people will actually use.

838
00:40:10,600 --> 00:40:12,960
The real architecture, choose the deployment shape.

839
00:40:12,960 --> 00:40:17,000
At this point you've established the business scenarios, tested readiness, reviewed information

840
00:40:17,000 --> 00:40:19,320
risk, and set the security boundary.

841
00:40:19,320 --> 00:40:21,080
Now you need to choose the deployment shape.

842
00:40:21,080 --> 00:40:25,320
The question isn't whether you can add co-pilot studio, connectors, agents, and Azure AI on

843
00:40:25,320 --> 00:40:26,320
day one.

844
00:40:26,320 --> 00:40:27,320
You can.

845
00:40:27,320 --> 00:40:30,280
The real question is whether each layer solves a defined business problem that standard

846
00:40:30,280 --> 00:40:33,240
Microsoft 365 co-pilot cannot solve well enough.

847
00:40:33,240 --> 00:40:35,080
Start with the core co-pilot experience.

848
00:40:35,080 --> 00:40:39,760
For many early scenarios, standard co-pilot in the Microsoft 365 apps is enough.

849
00:40:39,760 --> 00:40:42,280
A manager needs help preparing for a meeting.

850
00:40:42,280 --> 00:40:44,840
A project lead needs to turn notes into a status update.

851
00:40:44,840 --> 00:40:48,440
A sales team needs a first draft using material it already owns.

852
00:40:48,440 --> 00:40:53,640
These are usually adoption and workflow questions before they become architecture questions.

853
00:40:53,640 --> 00:40:55,840
That keeps the first deployment understandable.

854
00:40:55,840 --> 00:41:01,080
Once you introduce custom agents, external connectors, automated actions, or Azure services,

855
00:41:01,080 --> 00:41:05,760
you add new dependencies, new support needs, new security parts, and new decisions about

856
00:41:05,760 --> 00:41:06,960
ownership.

857
00:41:06,960 --> 00:41:09,880
Every architecture decision creates a governance decision.

858
00:41:09,880 --> 00:41:13,440
Microsoft Graph is central to the core experience because it provides the permission-trimmed context

859
00:41:13,440 --> 00:41:15,280
across Microsoft 365.

860
00:41:15,280 --> 00:41:20,520
Put simply, it helps connect the work a user is doing with the content, people, meetings,

861
00:41:20,520 --> 00:41:23,320
messages, and files that user is allowed to reach.

862
00:41:23,320 --> 00:41:26,280
But permission-trimmed does not mean quality-trimmed.

863
00:41:26,280 --> 00:41:30,080
Co-pilot can respect the user's access rights and still retrieve content that is outdated,

864
00:41:30,080 --> 00:41:33,320
poorly named, duplicated, or irrelevant to the decision at hand.

865
00:41:33,320 --> 00:41:36,000
That is why search architecture deserves attention.

866
00:41:36,000 --> 00:41:39,680
You need to know what content is indexed, which sources should contribute to search, who

867
00:41:39,680 --> 00:41:44,720
owns each source, and how you will handle low quality or obsolete content.

868
00:41:44,720 --> 00:41:47,040
A useful architecture question is this.

869
00:41:47,040 --> 00:41:50,440
When co-pilot gives a user an answer, where should that answer come from?

870
00:41:50,440 --> 00:41:55,040
For an HR policy scenario, the answer should come from the current approved policy source,

871
00:41:55,040 --> 00:42:00,320
not a collection of old files, informal team chats, and documents from a reorganization

872
00:42:00,320 --> 00:42:01,960
three years ago.

873
00:42:01,960 --> 00:42:06,440
For a sales scenario, it may need approved product information, account material, and current

874
00:42:06,440 --> 00:42:07,440
commercial guidance.

875
00:42:07,440 --> 00:42:10,200
The source system owner needs to define that boundary.

876
00:42:10,200 --> 00:42:14,320
Connectors can extend access to information held outside Microsoft 365.

877
00:42:14,320 --> 00:42:18,200
That may be useful where a business process relies on a CRM, service platform, knowledge

878
00:42:18,200 --> 00:42:20,080
base, or line of business system.

879
00:42:20,080 --> 00:42:21,680
Here's the trade-off.

880
00:42:21,680 --> 00:42:25,520
A connector can make co-pilot more useful by bringing relevant context closer to the

881
00:42:25,520 --> 00:42:26,520
user.

882
00:42:26,520 --> 00:42:31,120
It can also bring another systems access model, data quality issues, retention rules,

883
00:42:31,120 --> 00:42:34,080
and operational risks into the co-pilot experience.

884
00:42:34,080 --> 00:42:38,160
Before you connect anything, ask who owns the source data, who approves its use, what users

885
00:42:38,160 --> 00:42:42,080
should be able to retrieve, and who supports it when results are incomplete or wrong.

886
00:42:42,080 --> 00:42:45,440
Don't connect the system because someone says all our data should be available to AI.

887
00:42:45,440 --> 00:42:47,040
That is not an architecture principle.

888
00:42:47,040 --> 00:42:50,000
It is a future incident report waiting for a date.

889
00:42:50,000 --> 00:42:54,360
Co-pilot studio and Azure AI have a place, but only after you prove a defined workflow

890
00:42:54,360 --> 00:42:56,880
needs more than the standard capability.

891
00:42:56,880 --> 00:43:00,960
Co-pilot studio may fit when a team needs a focused agent with clear instructions, defined

892
00:43:00,960 --> 00:43:04,320
knowledge sources, and perhaps a controlled action path.

893
00:43:04,320 --> 00:43:09,000
Azure AI may fit when you need more custom orchestration, integration, model choice, or

894
00:43:09,000 --> 00:43:12,680
engineering control, than the Microsoft 365 experience provides.

895
00:43:12,680 --> 00:43:13,680
Both can be good choices.

896
00:43:13,680 --> 00:43:17,320
Neither should become a side project where every department builds its own assistant with

897
00:43:17,320 --> 00:43:22,360
different rules, unclear data sources, and nobody responsible when it stops working.

898
00:43:22,360 --> 00:43:23,760
Start with the standard experience.

899
00:43:23,760 --> 00:43:27,520
Add complexity only where a scenario has measurable value, clear ownership, and controls

900
00:43:27,520 --> 00:43:29,000
that match the scope.

901
00:43:29,000 --> 00:43:31,360
The tenant and merger situations need extra care.

902
00:43:31,360 --> 00:43:35,840
A global enterprise may run more than one tenant due to acquisitions, legal separation,

903
00:43:35,840 --> 00:43:38,920
regional structure, or historical decisions.

904
00:43:38,920 --> 00:43:42,760
Users may expect co-pilot to work across those boundaries because their business work crosses

905
00:43:42,760 --> 00:43:43,760
them.

906
00:43:43,760 --> 00:43:47,160
The architecture may not support that expectation in the simple way they imagine.

907
00:43:47,160 --> 00:43:48,880
Be explicit about data boundaries.

908
00:43:48,880 --> 00:43:52,880
Define which tenant owns the service, where identities are managed, which content sources

909
00:43:52,880 --> 00:43:56,960
are in scope, and what users can expect across organizational lines.

910
00:43:56,960 --> 00:44:01,160
Do not let an acquisition integration problem hide inside an AI project.

911
00:44:01,160 --> 00:44:02,480
It will not become easier there.

912
00:44:02,480 --> 00:44:05,200
Your target architecture should be practical enough to operate.

913
00:44:05,200 --> 00:44:09,560
Document the standard co-pilot capabilities you will enable, the approved data sources,

914
00:44:09,560 --> 00:44:14,600
search and indexing assumptions, plan connectors, custom extensions, service dependencies, and

915
00:44:14,600 --> 00:44:15,960
support ownership.

916
00:44:15,960 --> 00:44:17,400
Keep a design decisions log.

917
00:44:17,400 --> 00:44:21,400
When someone asks six months later why a connector was approved or why an agent has access

918
00:44:21,400 --> 00:44:25,720
to a certain source, you should not need to reconstruct the answer from meeting notes.

919
00:44:25,720 --> 00:44:30,400
The deliverables are a target architecture, a dependency map, and a design decisions log.

920
00:44:30,400 --> 00:44:32,800
Good architecture reduces future decisions.

921
00:44:32,800 --> 00:44:36,760
It gives teams a clear default path, a defined exception path, and a reason to say no

922
00:44:36,760 --> 00:44:40,440
when a request adds complexity without adding enough business value.

923
00:44:40,440 --> 00:44:44,000
That brings us to the next decision, how you control the cost of the architecture and the

924
00:44:44,000 --> 00:44:46,600
licenses that sit behind it.

925
00:44:46,600 --> 00:44:48,920
Licensing strategy and cost controls.

926
00:44:48,920 --> 00:44:53,040
Licensing is where a sound co-pilot strategy can quietly turn into an uncontrolled operating

927
00:44:53,040 --> 00:44:54,040
cost.

928
00:44:54,040 --> 00:44:58,720
Easy move is to buy broadly, assign widely, and hope usage grows into the spend.

929
00:44:58,720 --> 00:45:03,280
That may satisfy initial demand but it removes the discipline you need to prove where co-pilot

930
00:45:03,280 --> 00:45:07,360
changes work and where it simply becomes another unused entitlement.

931
00:45:07,360 --> 00:45:10,320
Start with the business scenario, then assign the license.

932
00:45:10,320 --> 00:45:13,520
A role does not automatically justify a co-pilot license.

933
00:45:13,520 --> 00:45:16,360
Two people with the same job title may work very differently.

934
00:45:16,360 --> 00:45:20,280
One may spend much of the week preparing documents, reviewing customer context, and running

935
00:45:20,280 --> 00:45:21,280
meetings.

936
00:45:21,280 --> 00:45:26,480
Other may work mainly in a specialist system with limited use for Microsoft 365 co-pilot.

937
00:45:26,480 --> 00:45:30,720
Treat licenses as an investment in a work pattern, not a benefit attached to a title.

938
00:45:30,720 --> 00:45:34,560
For the first waves, targeted licensing usually gives you the clearest evidence.

939
00:45:34,560 --> 00:45:38,760
You can connect each license group to a scenario, a business owner, expected use, and defined

940
00:45:38,760 --> 00:45:39,760
measures.

941
00:45:39,760 --> 00:45:43,080
If a department wants more licenses, ask them to identify the workflow, the accountable

942
00:45:43,080 --> 00:45:45,560
manager, and the outcome they expect to improve.

943
00:45:45,560 --> 00:45:47,600
That isn't bureaucracy for its own sake.

944
00:45:47,600 --> 00:45:51,720
It stops the role out becoming a queue of people asking, why do they have it and I don't?

945
00:45:51,720 --> 00:45:55,640
The answer should not depend on seniority, enthusiasm, or who asked first.

946
00:45:55,640 --> 00:46:00,400
It should depend on the current expansion criteria and whether the role fits a proven scenario.

947
00:46:00,400 --> 00:46:01,760
Broad licensing has a place.

948
00:46:01,760 --> 00:46:06,160
If your organization wants to build broad AI fluency, or if a large population has similar

949
00:46:06,160 --> 00:46:09,040
knowledge work patterns, wider access may be sensible.

950
00:46:09,040 --> 00:46:10,480
But price the decision honestly.

951
00:46:10,480 --> 00:46:13,360
The total cost is not the co-pilot line item alone.

952
00:46:13,360 --> 00:46:19,800
The base Microsoft 365 licensing position, enablement time, support capacity, governance activity,

953
00:46:19,800 --> 00:46:24,880
permission remediation, platform administration, reporting, and the time business team spend

954
00:46:24,880 --> 00:46:26,080
changing their work.

955
00:46:26,080 --> 00:46:29,880
A license that costs a fixed monthly amount may create several times that cost in the first

956
00:46:29,880 --> 00:46:32,920
year when you include the work required to make it useful and safe.

957
00:46:32,920 --> 00:46:34,600
That is not an argument against deployment.

958
00:46:34,600 --> 00:46:38,640
It is an argument against presenting procurement cost as the whole investment.

959
00:46:38,640 --> 00:46:42,480
Finance should be able to see the full model show the direct cost per licensed user, show

960
00:46:42,480 --> 00:46:44,640
shared platform and governance costs.

961
00:46:44,640 --> 00:46:48,240
Then allocate the costs to departments where that supports accountability.

962
00:46:48,240 --> 00:46:53,280
Some enterprises use chargeback where the department pays for licenses in related services.

963
00:46:53,280 --> 00:46:56,800
Others use showback where central IT pays but reports consumption and costback to each

964
00:46:56,800 --> 00:46:57,800
business unit.

965
00:46:57,800 --> 00:46:58,800
Here is the trade-off.

966
00:46:58,800 --> 00:47:03,160
Chargeback creates stronger local ownership, but it can slow adoption if leaders protect

967
00:47:03,160 --> 00:47:05,840
their budgets until every benefit is proven.

968
00:47:05,840 --> 00:47:10,160
Showback reduces that barrier, but departments may treat licenses as free and hold on to

969
00:47:10,160 --> 00:47:12,520
them long after the business case has faded.

970
00:47:12,520 --> 00:47:14,120
There is no universal answer.

971
00:47:14,120 --> 00:47:18,200
Choose the model that matches how your organization funds digital services, then make the rules

972
00:47:18,200 --> 00:47:19,200
visible.

973
00:47:19,200 --> 00:47:20,960
You also need an assumption about demand.

974
00:47:20,960 --> 00:47:23,800
Some leaders expect licenses to behave like a shared pool.

975
00:47:23,800 --> 00:47:27,360
A person uses co-pilot this month, then someone else uses the same seat next month.

976
00:47:27,360 --> 00:47:31,720
That may not match how the service is licensed or how the user experience needs to work.

977
00:47:31,720 --> 00:47:36,000
Don't build a financial forecast on pool demand unless your procurement terms and operating

978
00:47:36,000 --> 00:47:37,560
models support it.

979
00:47:37,560 --> 00:47:39,600
Model renewal exposure early.

980
00:47:39,600 --> 00:47:45,120
If the pilot expands, user rises unevenly or the organization commits to a larger volume

981
00:47:45,120 --> 00:47:48,440
before the benefits realization plan is mature.

982
00:47:48,440 --> 00:47:51,520
Set review points before renewal or major expansion decisions.

983
00:47:51,520 --> 00:47:55,560
Those reviews should assess scenario outcomes, active use, support demand, control findings

984
00:47:55,560 --> 00:47:57,480
and the remaining cost to scale.

985
00:47:57,480 --> 00:47:59,480
Unused licenses need an agreed response.

986
00:47:59,480 --> 00:48:03,120
Set a reasonable review period, look at whether the user belongs to an active scenario, whether

987
00:48:03,120 --> 00:48:08,160
they received role-based support, and whether a manager still expects the role to use co-pilot.

988
00:48:08,160 --> 00:48:11,800
Then reclaim, reassign or retain the license with a documented reason.

989
00:48:11,800 --> 00:48:13,400
Don't use activity alone as the test.

990
00:48:13,400 --> 00:48:17,680
A user may have low visible activity but gain value in a periodic high impact task.

991
00:48:17,680 --> 00:48:20,000
But don't let that become a blanket excuse either.

992
00:48:20,000 --> 00:48:23,960
The manager who owns the scenario should be able to explain the expected value.

993
00:48:23,960 --> 00:48:29,080
Your deliverables are a licensing strategy, financial controls and a 12 month cost forecast.

994
00:48:29,080 --> 00:48:32,800
They should show how licenses are assigned, who owns the spend, when usage and value

995
00:48:32,800 --> 00:48:37,640
are reviewed, how licenses are reclaimed and what triggers the next investment decision.

996
00:48:37,640 --> 00:48:42,120
Technology and licenses still need someone accountable for the decisions that follow.

997
00:48:42,120 --> 00:48:44,360
Governance, build the co-pilot operating model.

998
00:48:44,360 --> 00:48:48,720
A license strategy tells you who receives co-pilot and how you control the spend.

999
00:48:48,720 --> 00:48:52,200
Governance tells you who makes decisions after the license is active.

1000
00:48:52,200 --> 00:48:54,080
This is really a governance decision.

1001
00:48:54,080 --> 00:48:57,880
Co-pilot touches business work, enterprise data, security controls, legal duties, employee

1002
00:48:57,880 --> 00:48:59,840
concerns and departmental budgets.

1003
00:48:59,840 --> 00:49:04,560
If one team owns all of it, decisions either become slow or they happen outside the process.

1004
00:49:04,560 --> 00:49:06,440
Neither is a good operating model.

1005
00:49:06,440 --> 00:49:11,000
Just by naming the account abilities, the CIO or digital leader usually owns the platform,

1006
00:49:11,000 --> 00:49:12,560
outcome and the service model.

1007
00:49:12,560 --> 00:49:15,840
The CISO owns the security bar and security risk decisions.

1008
00:49:15,840 --> 00:49:19,720
Data owners decide whether their information is fit for the intended business use.

1009
00:49:19,720 --> 00:49:25,240
Legal, privacy and compliance teams define the obligations that apply to prompts, outputs,

1010
00:49:25,240 --> 00:49:27,040
records and regional requirements.

1011
00:49:27,040 --> 00:49:31,680
HR helps shape employee guidance, training boundaries and concerns about work change.

1012
00:49:31,680 --> 00:49:35,000
Finance owns the financial discipline, not the value claim itself.

1013
00:49:35,000 --> 00:49:36,160
Business leaders own that.

1014
00:49:36,160 --> 00:49:41,160
They must identify the workflow, nominate users, validate the result and explain what changed

1015
00:49:41,160 --> 00:49:44,240
in the business after co-pilot entered the process.

1016
00:49:44,240 --> 00:49:46,400
That last part is where many operating models fail.

1017
00:49:46,400 --> 00:49:48,040
It can make co-pilot available.

1018
00:49:48,040 --> 00:49:52,160
It cannot decide whether a sales proposal is better, whether a caseworker has made a sound

1019
00:49:52,160 --> 00:49:56,400
decision or whether a department has redirected saved time into work that matters.

1020
00:49:56,400 --> 00:49:58,480
The business leader has to own those outcomes.

1021
00:49:58,480 --> 00:50:00,640
Put this into a clear responsibility model.

1022
00:50:00,640 --> 00:50:04,600
You can use RATSI if your organization already works that way, but the format matters less

1023
00:50:04,600 --> 00:50:05,760
than the clarity.

1024
00:50:05,760 --> 00:50:10,640
For each decision, identify who recommends, who approves, who must be consulted and who

1025
00:50:10,640 --> 00:50:12,560
needs to know after the decision.

1026
00:50:12,560 --> 00:50:14,600
Keep the steering committee small enough to decide.

1027
00:50:14,600 --> 00:50:18,480
A steering committee with 20 people may represent every interest, but it rarely resolves

1028
00:50:18,480 --> 00:50:19,480
a problem.

1029
00:50:19,480 --> 00:50:24,320
Build a group with actual decision rights across business, IT, security, risk, legal or privacy,

1030
00:50:24,320 --> 00:50:25,640
finance and adoption.

1031
00:50:25,640 --> 00:50:29,720
Meet at a set cadence during the pilot and expansion phases, then adjust once the service

1032
00:50:29,720 --> 00:50:31,080
becomes stable.

1033
00:50:31,080 --> 00:50:34,480
Its job is not to review every prompt or approve every user request.

1034
00:50:34,480 --> 00:50:39,160
It should decide on expansion waves, material risk acceptance, policy exceptions, high impact

1035
00:50:39,160 --> 00:50:44,600
agent proposals, budget changes and issues that cannot be resolved within the delivery teams.

1036
00:50:44,600 --> 00:50:47,320
Give it an escalation path with defined response times.

1037
00:50:47,320 --> 00:50:51,000
If a business unit finds a serious access concern, everyone should know who receives it,

1038
00:50:51,000 --> 00:50:54,040
who assesses it and who can pause the relevant scope.

1039
00:50:54,040 --> 00:50:56,760
Then define the AI policies people will actually use.

1040
00:50:56,760 --> 00:51:01,320
Your accepted use policy should state what employees can do with co-pilot, what still requires

1041
00:51:01,320 --> 00:51:06,280
human review, what types of data needs special care and what behavior is not allowed.

1042
00:51:06,280 --> 00:51:07,800
Keep the language direct.

1043
00:51:07,800 --> 00:51:11,420
Use professional judgment and follow company policy may be true, but it doesn't help

1044
00:51:11,420 --> 00:51:15,360
someone deciding whether they can use a generated summary in a customer response or an internal

1045
00:51:15,360 --> 00:51:16,840
management decision.

1046
00:51:16,840 --> 00:51:19,640
Specify the moments where human review is mandatory.

1047
00:51:19,640 --> 00:51:23,960
That may include regulated communications, employment decisions, legal advice, financial

1048
00:51:23,960 --> 00:51:28,760
commitments, customer facing content or outputs used in high impact operational processes.

1049
00:51:28,760 --> 00:51:30,560
The point is not to ban useful work.

1050
00:51:30,560 --> 00:51:34,440
Just to make clear that co-pilot can support judgment without replacing accountable judgment.

1051
00:51:34,440 --> 00:51:36,520
Agent boundaries need their own policy.

1052
00:51:36,520 --> 00:51:41,000
A simple agent that retrieves information from approved sources has a different risk profile

1053
00:51:41,000 --> 00:51:45,120
from an agent that writes to a system, sends a message, creates a record, or triggers

1054
00:51:45,120 --> 00:51:46,280
a workflow.

1055
00:51:46,280 --> 00:51:50,600
Define which agents users can create for themselves, which need business owner approval, and

1056
00:51:50,600 --> 00:51:54,800
which need formal security, privacy and technical review before publication.

1057
00:51:54,800 --> 00:51:57,400
Every architecture decision creates a governance decision.

1058
00:51:57,400 --> 00:52:01,920
An agent with a connector creates a question about data access, an agent with an action creates

1059
00:52:01,920 --> 00:52:03,440
a question about authority.

1060
00:52:03,440 --> 00:52:08,520
An agent shared across the department creates a question about support, life cycle and ownership.

1061
00:52:08,520 --> 00:52:12,840
Write the rules before the agent catalog becomes a museum of abandoned experiments.

1062
00:52:12,840 --> 00:52:14,760
Separate enterprise standards from local playbooks.

1063
00:52:14,760 --> 00:52:17,120
The enterprise should set the non-negotiables.

1064
00:52:17,120 --> 00:52:22,720
Identity controls, data handling rules, audit expectations, security review, retention and

1065
00:52:22,720 --> 00:52:24,520
approval paths.

1066
00:52:24,520 --> 00:52:28,720
A local team can define how co-pilot supports its own workflow, what examples it trains

1067
00:52:28,720 --> 00:52:31,400
on, and what quality checks make sense in that work.

1068
00:52:31,400 --> 00:52:34,760
That gives you control without forcing every department to work the same way.

1069
00:52:34,760 --> 00:52:37,960
The risk register needs a named owner for every material item.

1070
00:52:37,960 --> 00:52:41,280
Not IT, not the program, a person or accountable role.

1071
00:52:41,280 --> 00:52:45,000
That owner tracks the mitigation, reports progress and brings the issue back to the steering

1072
00:52:45,000 --> 00:52:47,920
committee when the risk changes or the deadline slips.

1073
00:52:47,920 --> 00:52:51,160
Policy exceptions need the same discipline, record what is being accepted, why the business

1074
00:52:51,160 --> 00:52:55,440
needs it, what compensating control applies, who approved it and when it expires.

1075
00:52:55,440 --> 00:52:58,840
Permanent exceptions are often temporary decisions that nobody revisited.

1076
00:52:58,840 --> 00:53:01,280
Finally, test the controls.

1077
00:53:01,280 --> 00:53:06,440
Run regular reviews of access, policy compliance, agent ownership and unresolved risks.

1078
00:53:06,440 --> 00:53:08,800
Test whether escalation works under pressure.

1079
00:53:08,800 --> 00:53:12,120
Test whether local teams still follow the enterprise rules after the launch attention

1080
00:53:12,120 --> 00:53:13,120
has moved elsewhere.

1081
00:53:13,120 --> 00:53:16,920
The deliverables are a governance framework and a co-pilot operating model.

1082
00:53:16,920 --> 00:53:21,000
They define the people, decision rights policies, review routes and control checks that

1083
00:53:21,000 --> 00:53:25,880
allow co-pilot to operate as a business capability rather than a collection of licenses.

1084
00:53:25,880 --> 00:53:29,720
Governance becomes real when the pilot tests it under normal work pressure.

1085
00:53:29,720 --> 00:53:31,960
Pilot design, prove a business scenario.

1086
00:53:31,960 --> 00:53:36,680
The pilot is where your strategy, controls, architecture and governance model meet normal

1087
00:53:36,680 --> 00:53:37,680
work.

1088
00:53:37,680 --> 00:53:41,040
That's why a pilot should never exist to prove that co-pilot can write an email, summarize

1089
00:53:41,040 --> 00:53:43,240
a meeting or produce a first draft.

1090
00:53:43,240 --> 00:53:45,160
Everyone already knows it can do those things.

1091
00:53:45,160 --> 00:53:47,520
The pilot needs to prove something more useful.

1092
00:53:47,520 --> 00:53:51,800
Whether defined business scenario can operate safely, people will use it in real work and

1093
00:53:51,800 --> 00:53:54,760
the outcome justifies the next level of investment.

1094
00:53:54,760 --> 00:53:58,080
Start with a business scenario, not a department.

1095
00:53:58,080 --> 00:54:01,080
Let's pilot co-pilot with finance is too broad.

1096
00:54:01,080 --> 00:54:04,840
Finance contains many workflows, data types, approval rules and risk levels.

1097
00:54:04,840 --> 00:54:07,600
A stronger pilot state when sounds like this.

1098
00:54:07,600 --> 00:54:11,600
We will test whether account managers can prepare customer meeting briefings faster using

1099
00:54:11,600 --> 00:54:15,480
approved account information while maintaining the same quality standard.

1100
00:54:15,480 --> 00:54:21,520
It gives you a workflow, a user group, a source boundary, a business owner and a measure.

1101
00:54:21,520 --> 00:54:23,520
Choose departments where three conditions exist.

1102
00:54:23,520 --> 00:54:25,600
The work should repeat often enough to measure.

1103
00:54:25,600 --> 00:54:30,280
The leader should be willing to change how the team works, not just distribute licenses.

1104
00:54:30,280 --> 00:54:34,080
And the data risk should be manageable within the controls you have already tested.

1105
00:54:34,080 --> 00:54:35,960
A pilot group also needs variety.

1106
00:54:35,960 --> 00:54:38,600
Do not fill it only with enthusiastic early adopters.

1107
00:54:38,600 --> 00:54:42,680
They will find value because they enjoy testing new tools and that is useful feedback, but

1108
00:54:42,680 --> 00:54:45,440
it does not show how the broader workforce will respond.

1109
00:54:45,440 --> 00:54:49,280
To do it confident users, cautious users, experienced users and people who are busy enough to reject

1110
00:54:49,280 --> 00:54:50,880
anything that adds friction.

1111
00:54:50,880 --> 00:54:52,560
That mix gives you honest evidence.

1112
00:54:52,560 --> 00:54:54,440
Decide the pilot duration before launch.

1113
00:54:54,440 --> 00:54:57,880
It must be long enough for people to move beyond first week experimentation and use co-pilot

1114
00:54:57,880 --> 00:55:01,920
during routine work, but short enough that the pilot cannot drift without a decision.

1115
00:55:01,920 --> 00:55:06,800
Define the license count, the entry and exit process, the support route and the user commitments.

1116
00:55:06,800 --> 00:55:09,680
In practice, users should know what is expected of them.

1117
00:55:09,680 --> 00:55:12,280
They are not being asked to become AI experts.

1118
00:55:12,280 --> 00:55:16,280
They are being asked to test a small number of agreed work patterns, provide evidence about

1119
00:55:16,280 --> 00:55:19,120
what helped or failed and raise concerns quickly.

1120
00:55:19,120 --> 00:55:20,720
Managers have commitments too.

1121
00:55:20,720 --> 00:55:25,120
They need to protect time for enablement, reinforce the selected scenarios in team meetings

1122
00:55:25,120 --> 00:55:28,280
and validate whether the work output improved.

1123
00:55:28,280 --> 00:55:32,640
If a manager delegates the pilot to IT and never looks at the workflow again, you will collect

1124
00:55:32,640 --> 00:55:35,080
activity data without business evidence.

1125
00:55:35,080 --> 00:55:38,200
Write acceptance criteria before the launch communication goes out.

1126
00:55:38,200 --> 00:55:42,840
For each scenario, define the control criteria, adoption criteria and business criteria,

1127
00:55:42,840 --> 00:55:48,160
control criteria may require that no unresolved access issue appears in the approved scope.

1128
00:55:48,160 --> 00:55:52,240
Adoption criteria may require a meaningful share of the pilot group to return to the scenario

1129
00:55:52,240 --> 00:55:53,760
over several weeks.

1130
00:55:53,760 --> 00:55:57,480
Business criteria may require improved turnaround time, reduced rework or better completion

1131
00:55:57,480 --> 00:55:58,800
of follow-up actions.

1132
00:55:58,800 --> 00:56:01,120
Don't set criteria that only reward good news.

1133
00:56:01,120 --> 00:56:03,480
A pilot must have a legitimate path to stop.

1134
00:56:03,480 --> 00:56:07,920
If the data sources are unreliable, if users cannot fit the process into their work, or if

1135
00:56:07,920 --> 00:56:13,760
the quality check shows added rework, stopping or redesigning the scenario is a sound result.

1136
00:56:13,760 --> 00:56:17,560
It prevents a weak pattern from becoming an enterprise standard, build feedback into

1137
00:56:17,560 --> 00:56:20,840
the operating rhythm, each week collect user evidence.

1138
00:56:20,840 --> 00:56:25,000
Ask what task they attempted, what source material they used, what result they received,

1139
00:56:25,000 --> 00:56:29,560
what they changed before using the output, and whether the result altered the time, quality

1140
00:56:29,560 --> 00:56:31,640
or confidence involved in the work.

1141
00:56:31,640 --> 00:56:34,280
Avoid vague questions such as, did you like co-pilot?

1142
00:56:34,280 --> 00:56:35,720
People may like it and not use it.

1143
00:56:35,720 --> 00:56:38,440
They may dislike parts of it while still gaining real value.

1144
00:56:38,440 --> 00:56:40,320
You need evidence tied to the workflow.

1145
00:56:40,320 --> 00:56:44,880
Bring managers, security representatives, support leads and the executive sponsor into a regular

1146
00:56:44,880 --> 00:56:46,280
review cadence.

1147
00:56:46,280 --> 00:56:48,280
Managers report business observations.

1148
00:56:48,280 --> 00:56:52,960
Support reports recurring friction, security reports control findings and unusual events.

1149
00:56:52,960 --> 00:56:57,920
The sponsor resolves decisions that the delivery team cannot make, especially wear scope, budget,

1150
00:56:57,920 --> 00:56:59,640
or risk acceptance changes.

1151
00:56:59,640 --> 00:57:02,240
Keep executive reporting brief and decision focused.

1152
00:57:02,240 --> 00:57:07,000
Throw the scenario, the baseline, the current evidence, the open risks, the user feedback pattern,

1153
00:57:07,000 --> 00:57:08,360
and the decision needed.

1154
00:57:08,360 --> 00:57:12,560
Do not bury the steering group in screenshots, prompt examples, or feature lists.

1155
00:57:12,560 --> 00:57:16,680
They need to know whether the scenario is safe, useful, repeatable, and ready for the next

1156
00:57:16,680 --> 00:57:17,680
step.

1157
00:57:17,680 --> 00:57:19,680
Your pilot playbook should bring all of this together.

1158
00:57:19,680 --> 00:57:24,080
It defines the user's workflow, scope boundaries, support path, data sources controls, measures,

1159
00:57:24,080 --> 00:57:26,400
feedback routine, and exit criteria.

1160
00:57:26,400 --> 00:57:30,520
Parade with an executive reporting pack that makes the current state visible without requiring

1161
00:57:30,520 --> 00:57:32,520
a forensic review of project documents.

1162
00:57:32,520 --> 00:57:34,800
Before you approve launch, ask one final question.

1163
00:57:34,800 --> 00:57:39,040
If this pilot succeeds, do you know exactly what you will repeat for whom, under which controls

1164
00:57:39,040 --> 00:57:40,200
and with what evidence.

1165
00:57:40,200 --> 00:57:42,720
If you cannot answer that, you are running a product trial.

1166
00:57:42,720 --> 00:57:46,240
A successful pilot produces a repeatable expansion decision.

1167
00:57:46,240 --> 00:57:49,080
Pilot review, decide expand, fix, or stop.

1168
00:57:49,080 --> 00:57:51,680
The pilot ends with a decision meeting, not a celebration meeting.

1169
00:57:51,680 --> 00:57:55,840
That distinction matters because a pilot can feel busy, get good comments from users,

1170
00:57:55,840 --> 00:57:57,840
and still fail to justify expansion.

1171
00:57:57,840 --> 00:58:02,200
Your job is to compare the evidence against the baseline and the success criteria you agreed

1172
00:58:02,200 --> 00:58:03,960
before anyone received a license.

1173
00:58:03,960 --> 00:58:05,240
Start with the workflow result.

1174
00:58:05,240 --> 00:58:07,640
Did the selected team complete the work faster?

1175
00:58:07,640 --> 00:58:09,480
Did quality stay the same or improved?

1176
00:58:09,480 --> 00:58:10,640
Did rework fall?

1177
00:58:10,640 --> 00:58:14,160
Or did people spend the time they saved checking and correcting output?

1178
00:58:14,160 --> 00:58:15,920
Did the process become easier to follow?

1179
00:58:15,920 --> 00:58:19,800
Or did co-pilot create another step that people avoided when deadlines became real?

1180
00:58:19,800 --> 00:58:22,360
Look at the evidence across more than one source.

1181
00:58:22,360 --> 00:58:27,200
Use workflow samples, manager review, support cases, user feedback, and the control findings

1182
00:58:27,200 --> 00:58:28,640
from the pilot period.

1183
00:58:28,640 --> 00:58:30,960
A user saying this save me time is useful.

1184
00:58:30,960 --> 00:58:32,240
It is not enough on its own.

1185
00:58:32,240 --> 00:58:35,680
You need to understand which task changed, how often it changed, and whether that change

1186
00:58:35,680 --> 00:58:39,440
can repeat across the next group, then separate the cause of every shortfall.

1187
00:58:39,440 --> 00:58:41,960
A weak result may come from a product limitation.

1188
00:58:41,960 --> 00:58:43,760
It may come from a poor workflow design.

1189
00:58:43,760 --> 00:58:46,160
It may come from old or conflicting source content.

1190
00:58:46,160 --> 00:58:50,920
It may come from weak training, unclear policy, or a support route that users could not navigate.

1191
00:58:50,920 --> 00:58:53,680
These are different problems, and they need different responses.

1192
00:58:53,680 --> 00:58:57,760
If co-pilot produced weak answers because the approved source material was incomplete,

1193
00:58:57,760 --> 00:58:59,640
buying more licenses will not solve it.

1194
00:58:59,640 --> 00:59:03,920
If users struggled because the training showed generic examples rather than their real work,

1195
00:59:03,920 --> 00:59:05,320
that is an enablement issue.

1196
00:59:05,320 --> 00:59:08,600
If a controlled blocked a valid business task, the question is whether the policy needs

1197
00:59:08,600 --> 00:59:11,600
refinement, not whether the user should find a workaround.

1198
00:59:11,600 --> 00:59:15,600
This is where experienced teams avoid blaming the tool for every problem, document each

1199
00:59:15,600 --> 00:59:20,440
finding in a practical form, state what happened, what caused it, who owns the response,

1200
00:59:20,440 --> 00:59:24,760
and whether the issue affects the current scenario, the next expansion wave, or the wider operating

1201
00:59:24,760 --> 00:59:25,760
model.

1202
00:59:25,760 --> 00:59:29,160
Some findings will change policy, others will change architecture, support guidance, training

1203
00:59:29,160 --> 00:59:31,640
material, or the scope of the next pilot.

1204
00:59:31,640 --> 00:59:33,480
Not every scenario deserves another round.

1205
00:59:33,480 --> 00:59:37,520
A scenario should move forward when it shows repeatable business value, acceptable risk,

1206
00:59:37,520 --> 00:59:39,160
and a workable support model.

1207
00:59:39,160 --> 00:59:41,440
It should end when the workflow has no clear benefit.

1208
00:59:41,440 --> 00:59:45,400
The data quality cannot support the intended use, or the cost of control exceeds the likely

1209
00:59:45,400 --> 00:59:46,400
return.

1210
00:59:46,400 --> 00:59:48,360
Stopping a weak scenario is not failure.

1211
00:59:48,360 --> 00:59:52,000
It protects the enterprise from scaling a pattern that looked good in a demo, but adds

1212
00:59:52,000 --> 00:59:53,840
little under normal work conditions.

1213
00:59:53,840 --> 00:59:57,840
Frankly, that is a cheaper lesson than discovering the same thing after thousands of licenses

1214
00:59:57,840 --> 00:59:58,840
are assigned.

1215
00:59:58,840 --> 01:00:01,960
The executive decision should have four possible outcomes.

1216
01:00:01,960 --> 01:00:05,480
Expand when the evidence meets the agreed criteria, and the next group is ready.

1217
01:00:05,480 --> 01:00:08,760
Extend the pilot when the scenario still has promise, but needs more evidence within a clear

1218
01:00:08,760 --> 01:00:09,760
time limit.

1219
01:00:09,760 --> 01:00:13,920
Remediate when the business case holds, but a defined control, data, workflow, or training

1220
01:00:13,920 --> 01:00:15,560
issue needs correction first.

1221
01:00:15,560 --> 01:00:18,280
Stop when the scenario does not justify further spend.

1222
01:00:18,280 --> 01:00:21,400
Each outcome needs a written decision, named owner and next date.

1223
01:00:21,400 --> 01:00:24,600
Avoid language such as, let's keep exploring.

1224
01:00:24,600 --> 01:00:27,000
That usually means nobody wants to make the call.

1225
01:00:27,000 --> 01:00:32,080
A pilot that continues without a change scope, a new question, or a decision gate becomes

1226
01:00:32,080 --> 01:00:34,320
a standing experiment with a monthly bill.

1227
01:00:34,320 --> 01:00:38,640
Your pilot closeout report should show the original hypothesis, baseline results, unresolved

1228
01:00:38,640 --> 01:00:42,320
risks, lessons learned, changes required, and scale recommendation.

1229
01:00:42,320 --> 01:00:45,680
It becomes the evidence pack for the steering group and the starting point for the next

1230
01:00:45,680 --> 01:00:46,680
wave.

1231
01:00:46,680 --> 01:00:50,080
The next question belongs in that review, would the next group receive a better deployment

1232
01:00:50,080 --> 01:00:52,200
because of what this pilot taught you?

1233
01:00:52,200 --> 01:00:55,160
If the answer is no, you collected feedback but did not learn.

1234
01:00:55,160 --> 01:00:58,720
A pilot only earns its cost when its lessons change the next decision.

1235
01:00:58,720 --> 01:01:03,000
The next challenge is making sure a scenario that worked for one team becomes part of normal

1236
01:01:03,000 --> 01:01:05,640
work rather than fading after launch week.

1237
01:01:05,640 --> 01:01:08,800
Adoption and change management make it part of work.

1238
01:01:08,800 --> 01:01:10,560
A pilot can prove a workflow.

1239
01:01:10,560 --> 01:01:12,560
It cannot create a habit across an enterprise.

1240
01:01:12,560 --> 01:01:15,120
Once you move beyond the pilot, the work changes.

1241
01:01:15,120 --> 01:01:20,000
You are no longer asking whether a defined group can use co-pilot safely and productively.

1242
01:01:20,000 --> 01:01:24,880
You are helping people change how they prepare, communicate, search, draft, review, and make

1243
01:01:24,880 --> 01:01:26,880
decisions during a normal week.

1244
01:01:26,880 --> 01:01:28,440
Technology is rarely the hard part.

1245
01:01:28,440 --> 01:01:32,800
People need to know what is changing, why it is changing, what remains their responsibility,

1246
01:01:32,800 --> 01:01:34,280
and where the boundaries sit.

1247
01:01:34,280 --> 01:01:38,000
If they hear only that the organization has rolled out AI, they will create their own

1248
01:01:38,000 --> 01:01:39,000
story.

1249
01:01:39,000 --> 01:01:41,000
Some will assume their role is at risk.

1250
01:01:41,000 --> 01:01:43,600
Others will assume every output is correct because it came from co-pilot.

1251
01:01:43,600 --> 01:01:47,200
A few will use it aggressively, then lose trust after the first poor result.

1252
01:01:47,200 --> 01:01:50,120
Your communications need to get ahead of all three reactions.

1253
01:01:50,120 --> 01:01:53,120
Executive communication should focus on work, not product excitement.

1254
01:01:53,120 --> 01:01:57,240
A leader should explain the business reason for the rollout, the scenarios in scope, the

1255
01:01:57,240 --> 01:02:00,080
expected use, and the standards that remain in place.

1256
01:02:00,080 --> 01:02:02,640
Say clearly that co-pilot supports employee judgment.

1257
01:02:02,640 --> 01:02:07,640
It does not remove accountability for a customer response, an approval, a policy decision,

1258
01:02:07,640 --> 01:02:08,960
or a regulated outcome.

1259
01:02:08,960 --> 01:02:12,080
People also need to know what the organization expects from them.

1260
01:02:12,080 --> 01:02:15,760
They should understand which data handling rules still apply, when they need to verify

1261
01:02:15,760 --> 01:02:19,280
output, how to raise a concern, and where to get help.

1262
01:02:19,280 --> 01:02:20,440
Keep this direct.

1263
01:02:20,440 --> 01:02:24,600
An acceptable use policy hidden in a long portal page does not change behavior during

1264
01:02:24,600 --> 01:02:25,880
a busy afternoon.

1265
01:02:25,880 --> 01:02:28,960
The message from leadership should also be honest about the limits.

1266
01:02:28,960 --> 01:02:31,120
Co-pilot will sometimes give an incomplete answer.

1267
01:02:31,120 --> 01:02:33,040
It may use a source that needs checking.

1268
01:02:33,040 --> 01:02:36,680
It may produce wording that doesn't fit the audience or the decision that is normal for

1269
01:02:36,680 --> 01:02:37,920
this kind of tool.

1270
01:02:37,920 --> 01:02:41,880
Employees need permission to challenge it, correct it, and decide not to use the output

1271
01:02:41,880 --> 01:02:43,520
when it does not meet the standard.

1272
01:02:43,520 --> 01:02:46,600
Then move from broad communication to role-based enablement.

1273
01:02:46,600 --> 01:02:51,920
Generic training often begins with the interface, a list of features, and a few clever prompts.

1274
01:02:51,920 --> 01:02:55,240
That may help people feel familiar with the tool, but it rarely changes work.

1275
01:02:55,240 --> 01:03:00,560
A finance manager, project lead, HR advisor, sales executive, and service desk analyst, each

1276
01:03:00,560 --> 01:03:03,640
need to see how co-pilot fits into a task they already own.

1277
01:03:03,640 --> 01:03:06,400
Use their real working materials where policy permits.

1278
01:03:06,400 --> 01:03:10,120
Show a project manager how to prepare a status update from approved meeting notes and

1279
01:03:10,120 --> 01:03:11,400
project records.

1280
01:03:11,400 --> 01:03:15,680
Show a sales team how to prepare for an account meeting without copying old material into

1281
01:03:15,680 --> 01:03:17,080
an unapproved source.

1282
01:03:17,080 --> 01:03:21,320
Show an HR team how to use co-pilot for a first draft while keeping mandatory review and

1283
01:03:21,320 --> 01:03:23,320
approved policy sources in place.

1284
01:03:23,320 --> 01:03:25,600
That is where training becomes workflow design.

1285
01:03:25,600 --> 01:03:26,960
Prompt coaching belongs here too.

1286
01:03:26,960 --> 01:03:29,960
Don't teach prompts as magic phrases that employees memorize.

1287
01:03:29,960 --> 01:03:33,720
Teach people how to state the outcome they need, give enough context, point to the right

1288
01:03:33,720 --> 01:03:36,800
source, and define the form of the answer they want.

1289
01:03:36,800 --> 01:03:39,680
A useful prompt is often just a clear work request.

1290
01:03:39,680 --> 01:03:43,400
Help co-pilot the task, the audience, the source material, the constraints, and the quality

1291
01:03:43,400 --> 01:03:44,400
check.

1292
01:03:44,400 --> 01:03:45,400
Then review the result.

1293
01:03:45,400 --> 01:03:47,440
Employees already know how to brief a colleague.

1294
01:03:47,440 --> 01:03:51,240
Prompt coaching helps them apply that same discipline to an AI tool.

1295
01:03:51,240 --> 01:03:55,280
Build local champion networks but don't turn champions into unpaid support staff with

1296
01:03:55,280 --> 01:03:56,280
an impressive title.

1297
01:03:56,280 --> 01:03:59,800
A good champion translates between the platform team and the local team.

1298
01:03:59,800 --> 01:04:02,520
They know the work well enough to identify useful scenarios.

1299
01:04:02,520 --> 01:04:06,640
They can share practical examples, collect concerns early, and show peers how to use

1300
01:04:06,640 --> 01:04:10,000
the tool without making it feel like a central IT campaign.

1301
01:04:10,000 --> 01:04:13,080
Choose champions who are trusted, not simply the loudest volunteers.

1302
01:04:13,080 --> 01:04:17,360
They need time from their manager, clear guidance, access to current materials, and a route

1303
01:04:17,360 --> 01:04:18,560
to escalate issues.

1304
01:04:18,560 --> 01:04:22,440
If people begin asking them security, policy, or technical questions they cannot answer,

1305
01:04:22,440 --> 01:04:24,920
the support model needs to catch that quickly.

1306
01:04:24,920 --> 01:04:26,560
Resistance also deserves serious attention.

1307
01:04:26,560 --> 01:04:28,360
Some people will worry about job change.

1308
01:04:28,360 --> 01:04:31,000
Some will worry that poor output will damage their reputation.

1309
01:04:31,000 --> 01:04:34,600
Some will fear that usage data becomes a measure of effort or performance.

1310
01:04:34,600 --> 01:04:38,520
Others will resist because their current process works and changing it feels like extra

1311
01:04:38,520 --> 01:04:40,040
work with no clear return.

1312
01:04:40,040 --> 01:04:42,280
Don't dismiss these concerns as fear of change.

1313
01:04:42,280 --> 01:04:43,840
Address them in the open.

1314
01:04:43,840 --> 01:04:46,040
Explain what data you collect and why.

1315
01:04:46,040 --> 01:04:49,160
Separate adoption measures from individual performance management unless your organization

1316
01:04:49,160 --> 01:04:54,400
has explicitly chosen another path and has dealt with the legal, HR, and labour implications.

1317
01:04:54,400 --> 01:04:57,080
Show where human judgment remains required.

1318
01:04:57,080 --> 01:05:00,920
Most of all make sure the first use cases remove friction rather than add another system

1319
01:05:00,920 --> 01:05:02,600
people need to manage.

1320
01:05:02,600 --> 01:05:04,520
Support needs layers.

1321
01:05:04,520 --> 01:05:08,720
Support with self-service guidance for common questions, approved scenario examples, policy

1322
01:05:08,720 --> 01:05:13,240
reminders, and short learning material, add office hours where users can bring real work

1323
01:05:13,240 --> 01:05:18,200
questions, then define a clear escalation route for technical issues, access concerns,

1324
01:05:18,200 --> 01:05:20,960
suspected data exposure, and policy questions.

1325
01:05:20,960 --> 01:05:23,000
Every support asset needs an owner.

1326
01:05:23,000 --> 01:05:26,760
Someone must keep guidance current when the service changes, when policies change, or

1327
01:05:26,760 --> 01:05:30,480
when the pilot evidence shows that users misunderstand the scenario.

1328
01:05:30,480 --> 01:05:33,800
Otherwise, your internal knowledge base becomes another stale source that co-pilot may

1329
01:05:33,800 --> 01:05:34,800
eventually surface.

1330
01:05:34,800 --> 01:05:37,360
There's a small irony in that, but it happens.

1331
01:05:37,360 --> 01:05:41,480
The deliverable is a co-pilot adoption plan supported by a champion network and role-based

1332
01:05:41,480 --> 01:05:42,480
playbooks.

1333
01:05:42,480 --> 01:05:46,440
It should state who communicates, who trains, who supports, how feedback moves, and what

1334
01:05:46,440 --> 01:05:51,080
teams do when adoption stalls make co-pilot part of work people already need to do.

1335
01:05:51,080 --> 01:05:55,880
If it feels like an extra activity, it will disappear the moment the calendar gets busy.

1336
01:05:55,880 --> 01:05:57,960
Adoption measurement and continuous learning.

1337
01:05:57,960 --> 01:06:02,320
Once people begin using co-pilot in real work, leadership will ask a familiar question.

1338
01:06:02,320 --> 01:06:03,880
Is it working?

1339
01:06:03,880 --> 01:06:05,560
Be careful with the answer.

1340
01:06:05,560 --> 01:06:08,200
Usage data tells you whether people open the tool.

1341
01:06:08,200 --> 01:06:10,640
It does not tell you whether the tool improves the work.

1342
01:06:10,640 --> 01:06:13,320
A rising prompt count can mean adoption is improving.

1343
01:06:13,320 --> 01:06:17,040
It can also mean people are trying several times to get an answer they can use.

1344
01:06:17,040 --> 01:06:18,920
Activity is a signal it is not proof.

1345
01:06:18,920 --> 01:06:23,240
Start with a simple adoption view that shows active users, repeat users, and use by the relevant

1346
01:06:23,240 --> 01:06:24,560
apps or scenarios.

1347
01:06:24,560 --> 01:06:25,840
Look at the pattern over time.

1348
01:06:25,840 --> 01:06:28,240
Did people use co-pilot once after training?

1349
01:06:28,240 --> 01:06:29,240
Then stop.

1350
01:06:29,240 --> 01:06:31,720
Are they returning to the selected workflow each week?

1351
01:06:31,720 --> 01:06:35,040
Because one team have strong repeat use while another has almost none?

1352
01:06:35,040 --> 01:06:37,360
Those differences matter more than a tenant-wide average.

1353
01:06:37,360 --> 01:06:39,720
A low-use team may have received poor training.

1354
01:06:39,720 --> 01:06:41,440
It may lack an obvious scenario.

1355
01:06:41,440 --> 01:06:44,040
Its manager may not be reinforcing the new workflow.

1356
01:06:44,040 --> 01:06:47,600
Or the team may be correct because co-pilot does not solve a meaningful problem in that

1357
01:06:47,600 --> 01:06:48,600
part of the business.

1358
01:06:48,600 --> 01:06:51,920
Don't assume every low adoption number is a user problem.

1359
01:06:51,920 --> 01:06:53,640
Ask what the users are actually doing.

1360
01:06:53,640 --> 01:06:58,200
Are they using co-pilot to prepare for meetings, create drafts, find information, or reduce

1361
01:06:58,200 --> 01:06:59,440
follow-up work?

1362
01:06:59,440 --> 01:07:03,360
Or are they only experimenting in chat, trying prompts once and moving on?

1363
01:07:03,360 --> 01:07:06,600
This is the distinction between exploration and changed behavior.

1364
01:07:06,600 --> 01:07:10,400
A consulting team tracks the behavior that connects to the business scenario.

1365
01:07:10,400 --> 01:07:14,760
If the scenario is faster customer meeting preparation, measure whether account teams use

1366
01:07:14,760 --> 01:07:18,440
the approved sources and whether their preparation process changes.

1367
01:07:18,440 --> 01:07:22,560
If the scenario is reducing project follow-up effort, measure whether teams use the agreed

1368
01:07:22,560 --> 01:07:24,880
process and whether action tracking improves.

1369
01:07:24,880 --> 01:07:26,680
You don't need surveillance to do this.

1370
01:07:26,680 --> 01:07:31,400
Use sampled workflow reviews, manager feedback user interviews, support trends, and aggregated

1371
01:07:31,400 --> 01:07:32,400
service data.

1372
01:07:32,400 --> 01:07:35,560
Employees should understand what you measure, why you measure it, and what you will not

1373
01:07:35,560 --> 01:07:36,560
use it for.

1374
01:07:36,560 --> 01:07:40,320
If they believe every interaction becomes a personal performance score, they will either

1375
01:07:40,320 --> 01:07:43,760
avoid the tool or use it in ways that distort the evidence.

1376
01:07:43,760 --> 01:07:45,640
Keep the measurement focused on learning.

1377
01:07:45,640 --> 01:07:49,680
Pure learning helps here because people often trust a practical example from someone doing

1378
01:07:49,680 --> 01:07:52,480
the same job more than a central training session.

1379
01:07:52,480 --> 01:07:56,880
Get a route for teams to share what worked, what failed, and what they changed in their process.

1380
01:07:56,880 --> 01:07:58,880
The useful examples are specific.

1381
01:07:58,880 --> 01:08:00,640
Not copilot helped me save time.

1382
01:08:00,640 --> 01:08:04,200
Instead, I use this approach to prepare a briefing from these approved sources.

1383
01:08:04,200 --> 01:08:05,880
I still check these parts manually.

1384
01:08:05,880 --> 01:08:09,320
It removed this step from my process but it did not replace this review.

1385
01:08:09,320 --> 01:08:12,480
That kind of evidence gives colleagues a pattern they can test.

1386
01:08:12,480 --> 01:08:14,160
Managers also need a regular review point.

1387
01:08:14,160 --> 01:08:17,480
They should ask whether the chosen workflow still makes sense whether users have adopted

1388
01:08:17,480 --> 01:08:21,560
the agreed practice and whether the quality or risk controls need adjustment.

1389
01:08:21,560 --> 01:08:25,280
This should sit inside normal operational conversations where possible.

1390
01:08:25,280 --> 01:08:29,400
Not become a separate monthly ritual that disappears when priorities change.

1391
01:08:29,400 --> 01:08:34,160
Training cannot be a one-time event because the product, policy, and work itself will change.

1392
01:08:34,160 --> 01:08:37,480
Refresh guidance when new capabilities alter what users can do.

1393
01:08:37,480 --> 01:08:39,640
Update it when a security rule changes.

1394
01:08:39,640 --> 01:08:44,160
Rework it when evidence shows that users misunderstand a source boundary, skip a review step, or keep

1395
01:08:44,160 --> 01:08:46,400
asking the same question through support.

1396
01:08:46,400 --> 01:08:48,960
Treat each recurring problem as a learning backlog item.

1397
01:08:48,960 --> 01:08:52,920
In the issue, identify the affected scenario, decide who owns the fix, and test whether

1398
01:08:52,920 --> 01:08:54,920
the revised guidance changes behavior.

1399
01:08:54,920 --> 01:08:57,360
Some fixes will be a short prompt example.

1400
01:08:57,360 --> 01:09:01,760
Others will require a policy clarification, a better source of truth, or a change to the

1401
01:09:01,760 --> 01:09:02,840
workflow itself.

1402
01:09:02,840 --> 01:09:06,280
The deliverable is an adoption dashboard and a continuous learning backlog.

1403
01:09:06,280 --> 01:09:08,360
The dashboard shows where behavior is taking hold.

1404
01:09:08,360 --> 01:09:11,280
The backlog shows what the organization will improve next.

1405
01:09:11,280 --> 01:09:15,360
Together they stop adoption reporting from becoming a monthly count of clicks with no connection

1406
01:09:15,360 --> 01:09:16,560
to the work that changed.

1407
01:09:16,560 --> 01:09:20,480
Now connect that usage evidence to financial and business outcomes.

1408
01:09:20,480 --> 01:09:23,080
Measuring ROI build a defensible case.

1409
01:09:23,080 --> 01:09:26,520
ROI is where many co-pilot programs lose credibility.

1410
01:09:26,520 --> 01:09:30,560
Not because co-pilot cannot improve work, but because teams claim value before they define

1411
01:09:30,560 --> 01:09:31,560
what value means.

1412
01:09:31,560 --> 01:09:36,320
They count prompts, active users, or training attendance, then present that as a return on

1413
01:09:36,320 --> 01:09:37,320
investment.

1414
01:09:37,320 --> 01:09:39,880
Finance will quite reasonably ask a harder question.

1415
01:09:39,880 --> 01:09:41,200
What changed in the business?

1416
01:09:41,200 --> 01:09:43,600
Start with business KPIs tied to each scenario.

1417
01:09:43,600 --> 01:09:47,560
If a commercial team uses co-pilot to prepare account briefings, measure preparation time,

1418
01:09:47,560 --> 01:09:51,440
meeting readiness, follow-up speed, and perhaps the quality of customer response.

1419
01:09:51,440 --> 01:09:55,680
If a project team uses it to reduce meeting administration, measure the time from meeting

1420
01:09:55,680 --> 01:09:59,400
end to assigned actions, missed actions, and decision delays.

1421
01:09:59,400 --> 01:10:01,400
The measure must belong to the work.

1422
01:10:01,400 --> 01:10:03,960
Cycle time is often a good place to start because it is visible.

1423
01:10:03,960 --> 01:10:07,880
How long does it take to turn a request into a first draft, a reviewed draft, or a customer

1424
01:10:07,880 --> 01:10:08,880
response?

1425
01:10:08,880 --> 01:10:10,920
Yet faster work is not always better work.

1426
01:10:10,920 --> 01:10:12,240
Add a quality measure.

1427
01:10:12,240 --> 01:10:16,200
Ask the manager or a sample reviewer whether the output met the existing standard, needed

1428
01:10:16,200 --> 01:10:18,240
less rework or created new errors.

1429
01:10:18,240 --> 01:10:19,440
Decision speed can also matter.

1430
01:10:19,440 --> 01:10:23,540
A leadership team may spend days reconstructing context from emails, documents, and meeting

1431
01:10:23,540 --> 01:10:25,840
records before it can make a routine decision.

1432
01:10:25,840 --> 01:10:30,160
If co-pilot shortens that process while preserving sound review, the value is not merely

1433
01:10:30,160 --> 01:10:31,480
time-saved.

1434
01:10:31,480 --> 01:10:35,600
It can reduce delay in a project, customer issue, or operational approval.

1435
01:10:35,600 --> 01:10:39,240
Customer experience belongs in the model where the scenario touches customers.

1436
01:10:39,240 --> 01:10:43,080
You might measure response time, resolution time, consistency of communication or customer

1437
01:10:43,080 --> 01:10:44,080
feedback.

1438
01:10:44,080 --> 01:10:48,040
Don't claim that co-pilot improved customer experience because users like the tool show

1439
01:10:48,040 --> 01:10:49,760
the link through the workflow.

1440
01:10:49,760 --> 01:10:51,240
Technical KPIs have a different purpose.

1441
01:10:51,240 --> 01:10:55,200
They tell you whether the service is being used in the way your scenario expected and whether

1442
01:10:55,200 --> 01:10:57,040
the operating model can support it.

1443
01:10:57,040 --> 01:11:02,040
Track active users, repeat use, relevant feature use, support demand, error patterns, and

1444
01:11:02,040 --> 01:11:03,040
control events.

1445
01:11:03,040 --> 01:11:05,640
A rise in support tickets is not automatically bad.

1446
01:11:05,640 --> 01:11:08,240
During a new wave, it may show that people are engaging.

1447
01:11:08,240 --> 01:11:12,040
The question is whether the same issues keep returning and whether the support model resolves

1448
01:11:12,040 --> 01:11:13,640
them.

1449
01:11:13,640 --> 01:11:15,040
Feature use also needs context.

1450
01:11:15,040 --> 01:11:19,520
A department might use co-pilot chat frequently, but rarely use the app experiences tied

1451
01:11:19,520 --> 01:11:20,520
to the scenario.

1452
01:11:20,520 --> 01:11:23,800
That can tell you the workflow design has not taken hold.

1453
01:11:23,800 --> 01:11:27,000
Or it may show that the scenario itself needs a different route.

1454
01:11:27,000 --> 01:11:31,040
Don't force adoption into a feature just because the original plan expected it, then

1455
01:11:31,040 --> 01:11:34,800
calculate the financial picture, start with full cost per user, not just the license,

1456
01:11:34,800 --> 01:11:40,920
through the license cost, training, support, administration, governance work, security controls,

1457
01:11:40,920 --> 01:11:44,640
and the share of remediation needed to operate the service responsibly.

1458
01:11:44,640 --> 01:11:48,680
At department level show the local license allocation and the common service costs that

1459
01:11:48,680 --> 01:11:49,760
support it.

1460
01:11:49,760 --> 01:11:51,280
That makes the discussion more honest.

1461
01:11:51,280 --> 01:11:53,760
Next, calculate capacity recovered.

1462
01:11:53,760 --> 01:11:56,040
This is where teams often get ahead of themselves.

1463
01:11:56,040 --> 01:12:00,480
If employees save 30 minutes a day, that does not automatically create 30 minutes of financial

1464
01:12:00,480 --> 01:12:01,480
benefit.

1465
01:12:01,480 --> 01:12:05,040
Deception pays the same salary unless it uses that recovered time differently.

1466
01:12:05,040 --> 01:12:07,400
The real question is what happened to the capacity?

1467
01:12:07,400 --> 01:12:10,400
Did the team handle more customer cases without extra hiring?

1468
01:12:10,400 --> 01:12:12,240
Did it reduce contractor spend?

1469
01:12:12,240 --> 01:12:14,840
Did it improve response times within the same headcount?

1470
01:12:14,840 --> 01:12:19,240
Did people shift time from repetitive coordination into revenue work, quality checks, or project

1471
01:12:19,240 --> 01:12:20,240
delivery?

1472
01:12:20,240 --> 01:12:23,040
Or did the saved minutes simply disappear into the day?

1473
01:12:23,040 --> 01:12:24,480
There is no shame in the last answer.

1474
01:12:24,480 --> 01:12:29,280
It may still improve employee experience, but it is not the same as a hard financial return,

1475
01:12:29,280 --> 01:12:31,280
build the model with visible assumptions.

1476
01:12:31,280 --> 01:12:35,400
State the number of users in the scenario, the frequency of the task, the baseline effort,

1477
01:12:35,400 --> 01:12:39,400
the measured change, the percentage of recovered time that becomes productive capacity, and

1478
01:12:39,400 --> 01:12:41,920
the cost basis used by finance.

1479
01:12:41,920 --> 01:12:44,560
If an assumption is uncertain, label it as uncertain.

1480
01:12:44,560 --> 01:12:46,680
That is more credible than false precision.

1481
01:12:46,680 --> 01:12:49,520
Use scenario level baselines before the rollout.

1482
01:12:49,520 --> 01:12:51,960
Then validate the result with samples.

1483
01:12:51,960 --> 01:12:55,880
Compare work completed before and after, while allowing for changes in demand, seasonality

1484
01:12:55,880 --> 01:12:57,440
and team composition.

1485
01:12:57,440 --> 01:13:01,240
Ask managers for evidence, but don't let manager opinion replace measurement.

1486
01:13:01,240 --> 01:13:04,280
Investments should review the model before it reaches the executive group.

1487
01:13:04,280 --> 01:13:06,280
A good business case has three views.

1488
01:13:06,280 --> 01:13:11,600
The conservative case counts only verified cost avoidance or measurable throughput gains.

1489
01:13:11,600 --> 01:13:16,240
The expected case includes validated capacity redirected into agreed business work.

1490
01:13:16,240 --> 01:13:21,240
The strategic case may include softer benefits such as faster decisions or improved employee

1491
01:13:21,240 --> 01:13:24,520
experience, but it keeps those separate from cashable savings.

1492
01:13:24,520 --> 01:13:25,840
Here is the trade-off.

1493
01:13:25,840 --> 01:13:28,400
Generic vendor studies can help you form a hypothesis.

1494
01:13:28,400 --> 01:13:30,640
They cannot prove your organization's return.

1495
01:13:30,640 --> 01:13:34,080
Your data estate work patterns, controls and adoption level are different.

1496
01:13:34,080 --> 01:13:37,800
Use external research as context, not as the number you take to the board.

1497
01:13:37,800 --> 01:13:42,080
The deliverables are an executive dashboard and ROI model and a benefits realization plan.

1498
01:13:42,080 --> 01:13:46,720
The dashboard gives leaders a view of outcomes, cost, adoption, support and risk.

1499
01:13:46,720 --> 01:13:49,360
The ROI model explains how the numbers were calculated.

1500
01:13:49,360 --> 01:13:54,000
The benefits realization plan assigns owners to turn recovered capacity into an outcome the

1501
01:13:54,000 --> 01:13:55,440
business can actually see.

1502
01:13:55,440 --> 01:13:58,400
A good dashboard does not justify scale by itself.

1503
01:13:58,400 --> 01:14:02,400
The scale decision depends on whether you can repeat the controls, the workflow patterns

1504
01:14:02,400 --> 01:14:07,280
and the financial discipline across the next part of the enterprise.

1505
01:14:07,280 --> 01:14:10,840
Scaling enterprise wide from hundreds to tens of thousands.

1506
01:14:10,840 --> 01:14:13,920
Scaling co-pilot is not a larger version of a pilot.

1507
01:14:13,920 --> 01:14:18,600
At 500 users, a central team can still know most of the use cases, answer many questions

1508
01:14:18,600 --> 01:14:23,880
directly and intervene when something goes wrong at 50,000 users that model breaks.

1509
01:14:23,880 --> 01:14:25,600
Request to arrive from every region.

1510
01:14:25,600 --> 01:14:27,160
Policies meet local practice.

1511
01:14:27,160 --> 01:14:28,320
Support tickets multiply.

1512
01:14:28,320 --> 01:14:31,720
A small number of week controls can create a large operational burden.

1513
01:14:31,720 --> 01:14:35,840
So scale through repeatable scenario clusters, not through one large license upload.

1514
01:14:35,840 --> 01:14:40,480
A scenario cluster groups people who do similar work, you similar sources, face similar risks

1515
01:14:40,480 --> 01:14:42,000
and can learn from the same playbook.

1516
01:14:42,000 --> 01:14:46,000
It might include account teams preparing customer briefings, project managers converting

1517
01:14:46,000 --> 01:14:52,080
meetings into actions or HR teams preparing internal communications under defined review rules.

1518
01:14:52,080 --> 01:14:54,360
The expansion unit is not the whole department.

1519
01:14:54,360 --> 01:14:58,240
It is a group with a known work pattern and accountable business lead, a support route

1520
01:14:58,240 --> 01:15:00,720
and evidence from a prior wave that the pattern works.

1521
01:15:00,720 --> 01:15:04,880
This gives you a way to expand without rebuilding the deployment from scratch every time.

1522
01:15:04,880 --> 01:15:07,560
Global rollout adds decisions that local pilots can hide.

1523
01:15:07,560 --> 01:15:08,560
Language is one of them.

1524
01:15:08,560 --> 01:15:12,880
A prompt pattern that works well in English may need adjustment for local business language,

1525
01:15:12,880 --> 01:15:15,680
document standards or cultural expectations.

1526
01:15:15,680 --> 01:15:18,840
Training needs a local example, not simply translated slides.

1527
01:15:18,840 --> 01:15:23,720
Support also needs people who understand the user's working context, not just the platform.

1528
01:15:23,720 --> 01:15:25,520
Social policy differences matter as well.

1529
01:15:25,520 --> 01:15:30,280
Data residency, local regulatory requirements, labor rules, privacy expectations and works

1530
01:15:30,280 --> 01:15:32,840
councils may change the sequence of the rollout.

1531
01:15:32,840 --> 01:15:37,080
In some regions, you may need more consultation before enabling certain capabilities.

1532
01:15:37,080 --> 01:15:41,840
In others, local laws may affect which data sources monitoring practices or employee communications

1533
01:15:41,840 --> 01:15:42,840
are acceptable.

1534
01:15:42,840 --> 01:15:46,560
Don't treat this as a blocker to global scale, treat it as deployment design.

1535
01:15:46,560 --> 01:15:51,440
Set a global minimum standard for identity, security, data handling, audit and governance.

1536
01:15:51,440 --> 01:15:55,920
And let local accountable owners apply that standard within their legal and operating context.

1537
01:15:55,920 --> 01:15:59,320
The global team should not guess how a regional requirement works.

1538
01:15:59,320 --> 01:16:02,960
The regional team should not create a separate co-pilot policy because it is easier than

1539
01:16:02,960 --> 01:16:04,720
working through the shared model.

1540
01:16:04,720 --> 01:16:06,360
That brings us to ownership at scale.

1541
01:16:06,360 --> 01:16:09,760
You need central coordination, but you do not need a central bottleneck.

1542
01:16:09,760 --> 01:16:14,640
An AI center of excellence should provide standards, reusable assets, architecture patterns,

1543
01:16:14,640 --> 01:16:17,880
controls, measurement methods and expert support.

1544
01:16:17,880 --> 01:16:21,560
It should also identify issues that recur across the enterprise and turn those lessons into

1545
01:16:21,560 --> 01:16:22,760
better guidance.

1546
01:16:22,760 --> 01:16:24,920
It should not approve every routine request.

1547
01:16:24,920 --> 01:16:30,200
If every license wave, training session and low-risk scenario needs central committee approval,

1548
01:16:30,200 --> 01:16:32,160
the business will root around the model.

1549
01:16:32,160 --> 01:16:35,240
Give local teams a clear path for standard scenarios.

1550
01:16:35,240 --> 01:16:40,480
Reserve central review for exceptions, high-risk data, external connectors, agents with actions,

1551
01:16:40,480 --> 01:16:43,880
regional regulatory concerns or material changes to the service.

1552
01:16:43,880 --> 01:16:47,120
Think of the AI center of excellence as a coordination function.

1553
01:16:47,120 --> 01:16:51,320
It sets the root, maintains the shared standards and watches for problems that cross organizational

1554
01:16:51,320 --> 01:16:52,320
boundaries.

1555
01:16:52,320 --> 01:16:55,840
Business units still own their workflows, data owners still own their data, security still

1556
01:16:55,840 --> 01:16:59,640
owns security decisions, the center helps those groups move in the same direction without

1557
01:16:59,640 --> 01:17:01,000
taking over their jobs.

1558
01:17:01,000 --> 01:17:03,960
The support model has to mature at the same pace as the rollout.

1559
01:17:03,960 --> 01:17:07,960
At enterprise scale, a single mailbox or team's channel is not a service model.

1560
01:17:07,960 --> 01:17:09,320
You need tiered support.

1561
01:17:09,320 --> 01:17:14,720
The first tier handles common, how-to questions, approved scenario guidance and access issues.

1562
01:17:14,720 --> 01:17:18,000
Local enablement leads provide peer support close to the work.

1563
01:17:18,000 --> 01:17:22,480
Platform operations handles service configuration, licensing and technical defects.

1564
01:17:22,480 --> 01:17:27,240
Security and compliance teams own escalations, involving data exposure, policy breaches or

1565
01:17:27,240 --> 01:17:28,720
suspicious activity.

1566
01:17:28,720 --> 01:17:31,680
Vendor management also becomes part of the operating model.

1567
01:17:31,680 --> 01:17:36,320
Track service changes, licensing changes, support commitments, known limitations and road map

1568
01:17:36,320 --> 01:17:39,400
items that may affect your controls or training material.

1569
01:17:39,400 --> 01:17:40,680
Product change moves quickly.

1570
01:17:40,680 --> 01:17:44,840
A feature introduced into the tenant can alter user expectations before the operating model

1571
01:17:44,840 --> 01:17:48,360
catches up, which is always a popular surprise for a governance team.

1572
01:17:48,360 --> 01:17:50,360
Your expansion waves should have entry criteria.

1573
01:17:50,360 --> 01:17:54,120
A regional business group enters when it has an accountable leader, a usable scenario

1574
01:17:54,120 --> 01:17:58,760
set, required controls, local support coverage and capacity for enablement.

1575
01:17:58,760 --> 01:18:03,200
It exits the wave review when it shows stable use, manageable support demand, acceptable

1576
01:18:03,200 --> 01:18:07,680
risk and evidence that its chosen workflows are producing the expected outcomes.

1577
01:18:07,680 --> 01:18:11,360
This creates a rolling enterprise rollout plan rather than a single launch date.

1578
01:18:11,360 --> 01:18:12,880
Some groups will move quickly.

1579
01:18:12,880 --> 01:18:18,160
Others will need time to resolve data, policy or organizational issues that is not inconsistency.

1580
01:18:18,160 --> 01:18:19,600
It is risk-based delivery.

1581
01:18:19,600 --> 01:18:24,360
The deliverables are an AI center of excellence blueprint and an enterprise rollout plan.

1582
01:18:24,360 --> 01:18:30,000
The blueprint defines central and local responsibilities, decision routes, service layers and escalation

1583
01:18:30,000 --> 01:18:31,000
parts.

1584
01:18:31,000 --> 01:18:35,000
The rollout plan shows each expansion wave, its readiness criteria, its local owners and

1585
01:18:35,000 --> 01:18:38,560
the support capacity required before licenses are assigned.

1586
01:18:38,560 --> 01:18:42,680
As co-pilot reaches more of the enterprise, every shortcut taken in the first phase becomes

1587
01:18:42,680 --> 01:18:44,560
easier to see.

1588
01:18:44,560 --> 01:18:47,000
Continuous optimization and the 12 month road map.

1589
01:18:47,000 --> 01:18:50,880
An enterprise rollout does not end when the last planned license wave goes live.

1590
01:18:50,880 --> 01:18:54,640
That is usually when the more difficult work begins, because the service now has users

1591
01:18:54,640 --> 01:18:59,040
with different needs, regions with different constraints and a steady flow of new co-pilot

1592
01:18:59,040 --> 01:19:01,760
features, connectors and agent requests.

1593
01:19:01,760 --> 01:19:06,240
We need a 12 month road map that makes those decisions deliberate for the first 30 days

1594
01:19:06,240 --> 01:19:08,040
focus on the foundation.

1595
01:19:08,040 --> 01:19:12,520
Confirm the executive strategy, complete the readiness work for the initial scope, prioritize

1596
01:19:12,520 --> 01:19:16,080
the risks that can block the pilot and establish the control baseline.

1597
01:19:16,080 --> 01:19:18,240
This is not the period for broad access.

1598
01:19:18,240 --> 01:19:22,120
The main decisions in this first period are practical, which business scenarios enter

1599
01:19:22,120 --> 01:19:25,400
the pilot, who owns each one which data sources are in scope.

1600
01:19:25,400 --> 01:19:27,920
What permission risks need immediate remediation?

1601
01:19:27,920 --> 01:19:31,040
What control evidence must exist before users begin normal work?

1602
01:19:31,040 --> 01:19:35,240
By day 30 you should have a named sponsor, accountable business leads, a risk register and initial

1603
01:19:35,240 --> 01:19:39,880
scenario portfolio and a pilot design that can be approved or rejected on evidence.

1604
01:19:39,880 --> 01:19:44,120
From day 31 to day 90, run the controlled pilot and build the adoption system around

1605
01:19:44,120 --> 01:19:45,120
it.

1606
01:19:45,120 --> 01:19:48,720
This period is about testing the chosen workflows under normal business pressure.

1607
01:19:48,720 --> 01:19:53,160
Users need role-based guidance, managers need to review whether the work actually changes,

1608
01:19:53,160 --> 01:19:55,840
support teams need to see what users struggle with.

1609
01:19:55,840 --> 01:19:59,320
Security and governance teams need to observe whether the controls behave as intended.

1610
01:19:59,320 --> 01:20:01,320
Keep a decision gate at the end of this period.

1611
01:20:01,320 --> 01:20:03,520
You are not asking whether people enjoyed the pilot.

1612
01:20:03,520 --> 01:20:07,680
You are deciding whether the scenario should expand, whether a known gap needs remediation

1613
01:20:07,680 --> 01:20:10,760
or whether the organization should stop spending on that use case.

1614
01:20:10,760 --> 01:20:12,200
The difference is expensive.

1615
01:20:12,200 --> 01:20:16,360
During months, fall through eight, expand through the scenario clusters that have already

1616
01:20:16,360 --> 01:20:17,720
shown enough evidence.

1617
01:20:17,720 --> 01:20:21,160
Do not widen scope simply because a quarter has ended and the roll-out plan needs a new

1618
01:20:21,160 --> 01:20:22,160
number.

1619
01:20:22,160 --> 01:20:25,520
Expand where the next groups meet the readiness criteria, where their work resembles

1620
01:20:25,520 --> 01:20:29,480
the proven scenario and where local support can handle the change.

1621
01:20:29,480 --> 01:20:33,120
This is also the period where regional readiness becomes more visible.

1622
01:20:33,120 --> 01:20:37,680
Some locations will need local training, adapted materials, regional data decisions, or

1623
01:20:37,680 --> 01:20:40,000
extra consultation before they move forward.

1624
01:20:40,000 --> 01:20:44,480
Build those activities into the wave plan rather than treating them as late exceptions.

1625
01:20:44,480 --> 01:20:46,600
Your support model should mature at the same time.

1626
01:20:46,600 --> 01:20:50,720
The first waves often depend heavily on central experts because the questions are new.

1627
01:20:50,720 --> 01:20:54,040
By the middle of the year, common issues should have clear self-service guidance, repeatable

1628
01:20:54,040 --> 01:20:58,760
support procedures, and local champions who can handle the normal workflow questions.

1629
01:20:58,760 --> 01:21:02,760
Central teams should spend less time explaining basic usage and more time addressing patterns,

1630
01:21:02,760 --> 01:21:05,440
risks, and requests that need enterprise decisions.

1631
01:21:05,440 --> 01:21:07,640
Months 9-12 are for optimization.

1632
01:21:07,640 --> 01:21:11,200
Review license allocation against actual scenario outcomes.

1633
01:21:11,200 --> 01:21:13,680
Reclaim licenses where the business case did not develop.

1634
01:21:13,680 --> 01:21:16,800
Reassign capacity where demand and evidence are stronger.

1635
01:21:16,800 --> 01:21:20,040
Update the financial forecast based on operating costs, not the assumptions you made before

1636
01:21:20,040 --> 01:21:21,040
the pilot.

1637
01:21:21,040 --> 01:21:23,640
This is also when agent opportunities become more credible.

1638
01:21:23,640 --> 01:21:27,720
By now you should know which workflows have stable source material, clear business ownership,

1639
01:21:27,720 --> 01:21:31,160
repeat use, and enough friction left that a focused agent might help.

1640
01:21:31,160 --> 01:21:34,520
That does not mean every successful co-pilot scenario needs an agent.

1641
01:21:34,520 --> 01:21:38,840
It means you can assess agent proposals with real evidence rather than a slide deck full

1642
01:21:38,840 --> 01:21:40,080
of ambition.

1643
01:21:40,080 --> 01:21:43,720
New product capabilities, connectors, and agent patterns will continue to appear throughout

1644
01:21:43,720 --> 01:21:44,720
the year.

1645
01:21:44,720 --> 01:21:46,280
Apply the same framework every time.

1646
01:21:46,280 --> 01:21:47,960
What business problem does this solve?

1647
01:21:47,960 --> 01:21:49,600
Who owns the workflow and data?

1648
01:21:49,600 --> 01:21:53,400
What new access, support, security, or life cycle decisions does it create?

1649
01:21:53,400 --> 01:21:55,440
What happens if it scales beyond the first team?

1650
01:21:55,440 --> 01:21:58,720
If you cannot answer those questions, the request is not ready for production.

1651
01:21:58,720 --> 01:22:03,200
Your deliverable is a 12 month enterprise roadmap with named milestones and decision gates.

1652
01:22:03,200 --> 01:22:06,720
It should show what happens in each phase, who owns the outcome, what evidence allows

1653
01:22:06,720 --> 01:22:09,480
the next move, and what conditions pause expansion.

1654
01:22:09,480 --> 01:22:12,320
A roadmap without decision gates is just a calendar.

1655
01:22:12,320 --> 01:22:16,400
It tells people when activity will happen, but not whether that activity should continue.

1656
01:22:16,400 --> 01:22:20,400
Before we come to the recommendation, we need to confront the mistakes that repeatedly

1657
01:22:20,400 --> 01:22:23,320
turn a sound investment into an expensive pilot.

1658
01:22:23,320 --> 01:22:26,600
What experience consultants stop early?

1659
01:22:26,600 --> 01:22:29,160
The first mistake happens before the project even has a name.

1660
01:22:29,160 --> 01:22:34,480
An organization buys licenses, announces an AI program, and only then asks what co-pilot can

1661
01:22:34,480 --> 01:22:36,560
reach through existing permissions.

1662
01:22:36,560 --> 01:22:39,840
By that point, the pressure is already moving in the wrong direction.

1663
01:22:39,840 --> 01:22:43,800
Procurement once the licenses are signed, leaders want visible progress.

1664
01:22:43,800 --> 01:22:45,040
Security is asked to catch up.

1665
01:22:45,040 --> 01:22:47,040
That sequence creates a voidable risk.

1666
01:22:47,040 --> 01:22:48,320
Co-pilot doesn't invent access.

1667
01:22:48,320 --> 01:22:49,840
It makes access easier to use.

1668
01:22:49,840 --> 01:22:54,560
So if your SharePoint sites contain broad groups, old sharing links, unclear ownership, or folders

1669
01:22:54,560 --> 01:22:58,480
with broken inheritance, co-pilot makes the result of that history more visible.

1670
01:22:58,480 --> 01:23:01,080
The fix isn't to panic or shut down collaboration.

1671
01:23:01,080 --> 01:23:04,920
It is to assess the risk before you make broad access part of the user experience.

1672
01:23:04,920 --> 01:23:07,120
The next mistake is confusing activity with value.

1673
01:23:07,120 --> 01:23:11,240
A dashboard may show lots of users, lots of chats, and lots of time spent in the service

1674
01:23:11,240 --> 01:23:15,480
that can look reassuring, but a busy pilot can still produce no measurable business

1675
01:23:15,480 --> 01:23:16,480
result.

1676
01:23:16,480 --> 01:23:17,800
What changed in the workflow?

1677
01:23:17,800 --> 01:23:19,920
Did a team respond to customers faster?

1678
01:23:19,920 --> 01:23:22,680
Did a manager spend less time rebuilding project context?

1679
01:23:22,680 --> 01:23:24,400
Did document review produce fewer errors?

1680
01:23:24,400 --> 01:23:27,560
If nobody can answer those questions, the pilot has evidence of interest, not evidence

1681
01:23:27,560 --> 01:23:28,560
of return.

1682
01:23:28,560 --> 01:23:31,280
This is where experience consultants slow the conversation down.

1683
01:23:31,280 --> 01:23:33,240
They ask the uncomfortable question.

1684
01:23:33,240 --> 01:23:36,360
Would you renew these licenses if the usage report disappeared?

1685
01:23:36,360 --> 01:23:39,960
If the answer is unclear, your measures are too weak.

1686
01:23:39,960 --> 01:23:44,280
Another common failure is treating co-pilot as an IT project, while business leaders remain

1687
01:23:44,280 --> 01:23:45,520
spectators.

1688
01:23:45,520 --> 01:23:49,920
It can configure services, manage licenses, secure identity, and provide support.

1689
01:23:49,920 --> 01:23:54,440
It cannot decide which work is worth changing, whether output quality meets a business standard

1690
01:23:54,440 --> 01:23:56,440
or where recovered capacity should go.

1691
01:23:56,440 --> 01:23:58,080
The business has to own the workflow.

1692
01:23:58,080 --> 01:24:01,360
When a business leader says, "It is rolling out co-pilot to us?"

1693
01:24:01,360 --> 01:24:02,960
You already have a warning sign.

1694
01:24:02,960 --> 01:24:04,200
The language should be different.

1695
01:24:04,200 --> 01:24:08,920
The business is improving a defined work pattern, with IT providing the platform and controls.

1696
01:24:08,920 --> 01:24:13,240
That shared model changes the quality of decisions, because each group owns the part

1697
01:24:13,240 --> 01:24:14,800
it can actually influence.

1698
01:24:14,800 --> 01:24:17,520
Training is another area where good intentions often fail.

1699
01:24:17,520 --> 01:24:22,160
A broad launch webinar, a prompt library, and a few video links may create a burst of attention.

1700
01:24:22,160 --> 01:24:26,280
Then usage drops, because people cannot see how the tool fits into the work waiting on

1701
01:24:26,280 --> 01:24:27,280
their desk.

1702
01:24:27,280 --> 01:24:28,800
Generic training teaches a product.

1703
01:24:28,800 --> 01:24:30,280
It rarely changes a process.

1704
01:24:30,280 --> 01:24:34,080
Give people examples that match their role, their source material, their review duties,

1705
01:24:34,080 --> 01:24:35,360
and their real constraints.

1706
01:24:35,360 --> 01:24:37,920
Then give them a place to ask questions after the training ends.

1707
01:24:37,920 --> 01:24:41,840
Without that, people either stop using the tool or create workarounds that bypass the

1708
01:24:41,840 --> 01:24:43,960
controls you spend months putting in place.

1709
01:24:43,960 --> 01:24:46,880
Questions help, but only when the organization supports them.

1710
01:24:46,880 --> 01:24:51,240
Naming enthusiastic volunteers as champions, without giving them time, guidance, or a root

1711
01:24:51,240 --> 01:24:54,200
for escalation, simply moves the burden into the business.

1712
01:24:54,200 --> 01:24:58,120
They become the unofficial help desk, then burn out or give inconsistent advice.

1713
01:24:58,120 --> 01:25:02,520
A champion network needs a purpose, a support path, and managers who recognize that this is

1714
01:25:02,520 --> 01:25:03,960
part of the role.

1715
01:25:03,960 --> 01:25:06,960
Missing executive sponsorship creates a different kind of failure.

1716
01:25:06,960 --> 01:25:11,800
Without a sponsor who can make cross-functional decisions, every difficult issue gets stuck.

1717
01:25:11,800 --> 01:25:13,080
He waits for legal.

1718
01:25:13,080 --> 01:25:14,520
Legal waits for business ownership.

1719
01:25:14,520 --> 01:25:16,240
Finance asks for a case that nobody owns.

1720
01:25:16,240 --> 01:25:20,520
The project continues because no one formally stops it, but it cannot move with confidence

1721
01:25:20,520 --> 01:25:21,520
either.

1722
01:25:21,520 --> 01:25:23,560
The sponsor doesn't need to approve every detail.

1723
01:25:23,560 --> 01:25:27,800
They need the authority to resolve trade-offs when the groups around the table disagree.

1724
01:25:27,800 --> 01:25:31,040
Unclear governance has the same effect at a larger scale.

1725
01:25:31,040 --> 01:25:34,800
If nobody knows who can approve an exception, accept a risk, or decide whether an agent should

1726
01:25:34,800 --> 01:25:38,880
move beyond the team, people will either wait too long or act without approval.

1727
01:25:38,880 --> 01:25:43,640
The outcome is cost-time, poor information architecture is often harder to see because it sits beneath

1728
01:25:43,640 --> 01:25:45,240
the visible project plan.

1729
01:25:45,240 --> 01:25:49,280
Teams may have documents in several places, competing versions of the same policy, vague

1730
01:25:49,280 --> 01:25:52,480
names, abandoned workspaces, and no clear source of truth.

1731
01:25:52,480 --> 01:25:56,320
Co-pilot cannot determine which document your organization intended to trust.

1732
01:25:56,320 --> 01:26:00,440
It can work with the content available to it, and that makes information discipline a business

1733
01:26:00,440 --> 01:26:03,560
responsibility, not an optional cleanup exercise.

1734
01:26:03,560 --> 01:26:05,520
Then there is the missing post-pilot road map.

1735
01:26:05,520 --> 01:26:10,040
A pilot reaches its end, people share positive feedback, and the organization announces success.

1736
01:26:10,040 --> 01:26:14,080
But no one has defined the next wave of the support model, the control changes, the licensing

1737
01:26:14,080 --> 01:26:16,280
rules, or the decision gate for expansion.

1738
01:26:16,280 --> 01:26:20,720
The pilot becomes a permanent small program too successful to stop and too incomplete to scale.

1739
01:26:20,720 --> 01:26:23,800
Finally, don't expect AI to fix a broken process.

1740
01:26:23,800 --> 01:26:28,440
If a workflow has unclear ownership, poor source data, unnecessary approvals, and conflicting

1741
01:26:28,440 --> 01:26:31,960
policy, co-pilot may help people produce documents faster.

1742
01:26:31,960 --> 01:26:34,480
It will not make the underlying process coherent.

1743
01:26:34,480 --> 01:26:38,480
In some cases, it simply helps the organization move confusion at a higher speed.

1744
01:26:38,480 --> 01:26:40,320
Pause and look at your own plan.

1745
01:26:40,320 --> 01:26:42,480
Which of these mistakes has already entered it?

1746
01:26:42,480 --> 01:26:46,840
Which one is someone calling a later phase because it is politically easier to postpone?

1747
01:26:46,840 --> 01:26:50,720
The answer depends less on whether co-pilot is impressive and more on whether your organization

1748
01:26:50,720 --> 01:26:53,680
can carry the operating model that comes with it.

1749
01:26:53,680 --> 01:26:55,960
Should every enterprise deploy co-pilot?

1750
01:26:55,960 --> 01:26:59,360
Should every enterprise deploy a Microsoft 365 co-pilot?

1751
01:26:59,360 --> 01:27:01,000
No, not automatically.

1752
01:27:01,000 --> 01:27:02,520
And that isn't a rejection of co-pilot.

1753
01:27:02,520 --> 01:27:04,760
It's a rejection of a poor deployment decision.

1754
01:27:04,760 --> 01:27:08,560
An enterprise should deploy co-pilot when it can point to business scenarios where

1755
01:27:08,560 --> 01:27:13,320
better access to context, faster drafting, less time spent finding information, or more

1756
01:27:13,320 --> 01:27:16,840
consistent follow-up will change work in a measurable way.

1757
01:27:16,840 --> 01:27:21,680
It should also have enough control over identity, data access, security, and support to operate

1758
01:27:21,680 --> 01:27:23,000
the service responsibly.

1759
01:27:23,000 --> 01:27:24,000
That is the threshold.

1760
01:27:24,000 --> 01:27:25,080
You don't need a perfect tenant.

1761
01:27:25,080 --> 01:27:26,400
Few enterprises have one.

1762
01:27:26,400 --> 01:27:30,080
You do need an honest view of the risks in the scope you plan to enable, named owners

1763
01:27:30,080 --> 01:27:34,560
who can deal with them and a plan that prevents a small pilot from turning into uncontrolled

1764
01:27:34,560 --> 01:27:36,440
access at scale.

1765
01:27:36,440 --> 01:27:39,680
For small and mid-market organizations, the answer can be simpler.

1766
01:27:39,680 --> 01:27:43,880
They often have fewer regions, fewer policy layers, and a smaller number of data stores.

1767
01:27:43,880 --> 01:27:47,520
That can make a focused rollout easier, but it also means there may be less capacity for

1768
01:27:47,520 --> 01:27:49,640
governance, support, and change work.

1769
01:27:49,640 --> 01:27:50,640
Keep the scope narrow.

1770
01:27:50,640 --> 01:27:53,160
Pick a small number of repeatable scenarios.

1771
01:27:53,160 --> 01:27:55,200
Give ownership to leaders who know the work.

1772
01:27:55,200 --> 01:27:57,360
Set clear rules for data handling and review.

1773
01:27:57,360 --> 01:28:01,720
Then expand only where users and managers can show a real change in the work.

1774
01:28:01,720 --> 01:28:03,480
Large enterprises need more formal discipline.

1775
01:28:03,480 --> 01:28:07,640
They operate across regions, business units, legal entities, labor rules, and inherited

1776
01:28:07,640 --> 01:28:08,640
systems.

1777
01:28:08,640 --> 01:28:12,800
A decision that looks simple from Central IT can create a different effect in a local market.

1778
01:28:12,800 --> 01:28:17,720
So large enterprises need clear global standards, local owners, lifecycle controls, regional rollout

1779
01:28:17,720 --> 01:28:22,120
design, and a coordination model that can manage exceptions without creating gridlock.

1780
01:28:22,120 --> 01:28:24,640
The scale of the tenant does not create value.

1781
01:28:24,640 --> 01:28:27,160
It increases the cost of weak decisions.

1782
01:28:27,160 --> 01:28:30,560
Highly regulated organizations should set a higher bar before broad access.

1783
01:28:30,560 --> 01:28:35,160
If you operate in healthcare, financial services, public sector, defense, or another closely

1784
01:28:35,160 --> 01:28:38,720
governed field, you need evidence that your controls work in the scenarios you intend

1785
01:28:38,720 --> 01:28:39,720
to support.

1786
01:28:39,720 --> 01:28:40,760
You need audit parts.

1787
01:28:40,760 --> 01:28:43,320
You need clear retention and e-discovery positions.

1788
01:28:43,320 --> 01:28:47,440
You need to know how data boundaries, local obligations, and human review requirements affect

1789
01:28:47,440 --> 01:28:48,440
the service.

1790
01:28:48,440 --> 01:28:50,440
That does not mean you should wait indefinitely.

1791
01:28:50,440 --> 01:28:55,160
It means you prove the controls and the workflow in a contained scope before you invite

1792
01:28:55,160 --> 01:28:56,760
the whole organization in.

1793
01:28:56,760 --> 01:28:59,720
A controlled pilot can be a sensible way to build evidence.

1794
01:28:59,720 --> 01:29:04,240
A broad launch without that evidence is simply asking the risk team to bless uncertainty.

1795
01:29:04,240 --> 01:29:05,880
So my recommendation is direct.

1796
01:29:05,880 --> 01:29:06,880
Fix identity first.

1797
01:29:06,880 --> 01:29:08,880
Review permissions before broad deployment.

1798
01:29:08,880 --> 01:29:11,880
Establish governance before you create demand you cannot manage.

1799
01:29:11,880 --> 01:29:15,320
Improve the information architecture around the scenarios you want to support.

1800
01:29:15,320 --> 01:29:20,200
Then deploy co-pilot in phases with business ownership and a clear test for value.

1801
01:29:20,200 --> 01:29:23,680
If your plan starts with a tenant-wide license assignment, pause it.

1802
01:29:23,680 --> 01:29:27,960
You may still reach a broad rollout, but first, earn the right to scale.

1803
01:29:27,960 --> 01:29:30,160
Next steps the first 90 days.

1804
01:29:30,160 --> 01:29:34,840
The first 90 days should produce decisions, not just activity, start by naming four

1805
01:29:34,840 --> 01:29:35,840
accountabilities.

1806
01:29:35,840 --> 01:29:39,240
You need an executive sponsor with authority to resolve business trade-offs.

1807
01:29:39,240 --> 01:29:41,960
You need an accountable platform owner for the co-pilot service.

1808
01:29:41,960 --> 01:29:45,800
You need a security owner who can set and assess the control bar, and you need business

1809
01:29:45,800 --> 01:29:47,840
leads who own the workflows being tested.

1810
01:29:47,840 --> 01:29:49,120
Write those names down.

1811
01:29:49,120 --> 01:29:53,240
If any of those roles are shared across several people, make the decision rights clear.

1812
01:29:53,240 --> 01:29:57,600
A large team can contribute expertise, but someone still needs to make the call when the business

1813
01:29:57,600 --> 01:30:00,120
wants speed and security needs more evidence.

1814
01:30:00,120 --> 01:30:04,120
Next, commission an AI readiness assessment and a permission risk inventory for the first

1815
01:30:04,120 --> 01:30:05,120
intended scope.

1816
01:30:05,120 --> 01:30:08,960
Don't ask whether the whole enterprise is ready in the abstract, assess the users, data

1817
01:30:08,960 --> 01:30:13,720
sources, workspaces, and services that support the first scenarios.

1818
01:30:13,720 --> 01:30:17,520
The result should separate hard blockers from issues you can manage during the pilot,

1819
01:30:17,520 --> 01:30:20,680
and risks the sponsor is willing to accept for a defined period.

1820
01:30:20,680 --> 01:30:23,680
That gives the organization a starting point based on evidence.

1821
01:30:23,680 --> 01:30:25,760
Then select a small set of pilot workflows.

1822
01:30:25,760 --> 01:30:29,520
Choose work that repeats, has a clear business owner, and has an outcome you can measure without

1823
01:30:29,520 --> 01:30:31,360
inventing a new reporting program.

1824
01:30:31,360 --> 01:30:33,800
Avoid choosing only the most exciting use case.

1825
01:30:33,800 --> 01:30:37,240
Choose one where you can compare the work before and after, and where the team has enough

1826
01:30:37,240 --> 01:30:39,000
incentive to change its habits.

1827
01:30:39,000 --> 01:30:40,880
Set up the governance forum before launch.

1828
01:30:40,880 --> 01:30:43,040
It doesn't need to be a large committee at this stage.

1829
01:30:43,040 --> 01:30:44,400
It needs the right people.

1830
01:30:44,400 --> 01:30:47,800
A fixed cadence, a decision log, and clear escalation routes.

1831
01:30:47,800 --> 01:30:50,920
Agree the success criteria before licenses go live.

1832
01:30:50,920 --> 01:30:54,800
Agree what will cause you to expand, what will require remediation, and what will stop

1833
01:30:54,800 --> 01:30:55,800
the scenario.

1834
01:30:55,800 --> 01:30:59,120
This protects the pilot from becoming an open-ended experiment.

1835
01:30:59,120 --> 01:31:03,880
For days one through 30 complete ownership, scope, readiness, evidence, and the pilot design.

1836
01:31:03,880 --> 01:31:08,880
For days 31 through 60, remediate the priority risks in the pilot scope, prepare the users

1837
01:31:08,880 --> 01:31:12,680
and support teams, and validate the controls that matter to the scenarios.

1838
01:31:12,680 --> 01:31:17,760
For days 61 through 90, run the pilot under normal working conditions, collect

1839
01:31:17,760 --> 01:31:21,920
workflow evidence, and bring the results to the executive decision point.

1840
01:31:21,920 --> 01:31:24,920
Keep the roadmap visible.

1841
01:31:24,920 --> 01:31:29,480
At the end of 90 days, you should not be asking, what should we do next?

1842
01:31:29,480 --> 01:31:33,600
You should be deciding whether the evidence supports expansion, a focused correction,

1843
01:31:33,600 --> 01:31:34,600
or a stop.

1844
01:31:34,600 --> 01:31:38,040
That is the discipline that turns co-pilot into a managed business capability instead

1845
01:31:38,040 --> 01:31:40,040
of a very expensive experiment.

1846
01:31:40,040 --> 01:31:42,040
Three decisions that determine the result.

1847
01:31:42,040 --> 01:31:43,720
Three decisions determine the result.

1848
01:31:43,720 --> 01:31:47,640
First, treat co-pilot deployment as a business decision, not a license purchase.

1849
01:31:47,640 --> 01:31:49,200
The license gives a user access.

1850
01:31:49,200 --> 01:31:53,120
It does not tell you which work should change, who owns the outcome, or whether the investment

1851
01:31:53,120 --> 01:31:54,840
earns its place in the budget.

1852
01:31:54,840 --> 01:31:59,240
Second, accept that your existing permissions and information architecture define the risk

1853
01:31:59,240 --> 01:32:00,240
boundary.

1854
01:32:00,240 --> 01:32:02,440
Co-pilot works within the access people already have.

1855
01:32:02,440 --> 01:32:07,160
If access is too broad, content is stale, or ownership is unclear, AI will expose that

1856
01:32:07,160 --> 01:32:10,320
operational debt faster than a normal search experience.

1857
01:32:10,320 --> 01:32:15,640
Third, sustained value comes from workflow adoption, evidence, and operating discipline.

1858
01:32:15,640 --> 01:32:19,800
People need a reason to use co-pilot in real work, managers need to see a measurable change,

1859
01:32:19,800 --> 01:32:23,720
and the enterprise needs controls that remain in place after the first rollout wave.

1860
01:32:23,720 --> 01:32:28,000
The biggest risk is scaling access and cost before you have proved control and business

1861
01:32:28,000 --> 01:32:28,840
value.

1862
01:32:28,840 --> 01:32:33,240
The biggest opportunity is redesigning high friction knowledge work around secure, measurable

1863
01:32:33,240 --> 01:32:34,880
patterns that people can repeat.

1864
01:32:34,880 --> 01:32:36,960
So the recommended next step is simple.

1865
01:32:36,960 --> 01:32:40,280
Approve a readiness assessment before approving broad deployment.

1866
01:32:40,280 --> 01:32:43,840
If you're facing a similar challenge, or you'd like an independent perspective on your

1867
01:32:43,840 --> 01:32:48,080
Microsoft strategy, architecture, or governance, connect with me on LinkedIn.

1868
01:32:48,080 --> 01:32:52,320
I work independently and collaborate with a trusted network of Microsoft MVPs and domain

1869
01:32:52,320 --> 01:32:55,440
experts to help organizations make better technology decisions.

Mirko Peters Profile Photo

Founder of m365.fm, m365.show and m365con.net

Mirko Peters is a Microsoft 365 expert, content creator, and founder of m365.fm, a platform dedicated to sharing practical insights on modern workplace technologies. His work focuses on Microsoft 365 governance, security, collaboration, and real-world implementation strategies.

Through his podcast and written content, Mirko provides hands-on guidance for IT professionals, architects, and business leaders navigating the complexities of Microsoft 365. He is known for translating complex topics into clear, actionable advice, often highlighting common mistakes and overlooked risks in real-world environments.

With a strong emphasis on community contribution and knowledge sharing, Mirko is actively building a platform that connects experts, shares experiences, and helps organizations get the most out of their Microsoft 365 investments.