In this episode of the M365 Show, Mirko Peters speaks with Elliot Margot, Microsoft MVP for Microsoft 365 Copilot and Copilot Studio Team Lead at Witivio. Elliot shares a practical perspective on taking AI from an impressive demo to a secure, governed and genuinely useful enterprise solution. The conversation covers Microsoft Copilot Studio, multi-agent systems, enterprise RAG, MCP, Power Automate, governance, cost control and the human side of AI adoption. ㅤ ㅤ FROM CHATBOTS TO ENTERPRISE AI AGE...

Microsoft Copilot can feel remarkably intelligent in a demo. It can find a project document, summarize a policy, extract information from SharePoint, and connect pieces of enterprise content into a convincing answer. But there is a fundamental architectural limitation hiding behind that experience: retrieval is not memory. Copilot can search your organization, but that does not mean it has built a persistent understanding of your organization. In this deep dive, we explore the difference between...

In this episode of the M365 Show, Mirko Peters speaks with Fergus Kidd, Microsoft MVP, Co-Founder and CTO of FieldPal AI, about moving enterprise AI beyond the desk. While much of the conversation around Microsoft Copilot, generative AI and productivity focuses on knowledge workers, Fergus makes the case for the people maintaining infrastructure, repairing equipment, carrying out inspections and keeping essential services running. These frontline teams often work with limited connectivity, limit...

Microsoft 365 transformation is often discussed as though success can be engineered by following the right framework closely enough. Define the strategy, prepare the environment, migrate workloads, establish governance, train users, measure adoption, and continue optimizing. On paper, the process appears logical and comprehensive. In practice, organizations can follow almost every recommended step, successfully deploy Microsoft Teams, SharePoint, OneDrive, Microsoft 365 Copilot, and the wider Mi...

Microsoft’s AI strategy becomes much easier to understand once we stop asking which model is better. The important question is no longer whether MAI-1 can beat Phi-4, whether Phi-4 is more efficient, or which model should become the enterprise standard. Those questions assume that both models are competing for the same job. They are not. Microsoft is building toward an architecture in which different forms of intelligence perform different roles. Phi-4 represents the fast, efficient Runtime laye...

Artificial intelligence was supposed to transform how organizations access information, make decisions, and execute work. Microsoft Copilot, enterprise AI agents, and generative AI promised to remove the barriers between employees and organizational knowledge. But many companies are discovering a fundamental problem: employees can ask AI better questions and receive better answers, yet they still have to navigate SharePoint, Excel, business applications, approval systems, and other tools to actu...

Despite the rapid growth of Artificial Intelligence, Power BI continues to be one of the most valuable business intelligence platforms available today. In this episode of M365.FM, Microsoft Fabric Super User and Microsoft MVP Thummalacherla Krishnakanth explains why strong analytics foundations remain essential, even in the AI era. The discussion explores Power BI, Microsoft Fabric, DAX, Power Query, enterprise reporting, dashboard design, governance, and the future of business intelligence. Whe...

Choosing the right virtual desktop platform has become one of the most important decisions for organizations modernizing their workplace. Although Azure Virtual Desktop (AVD) and Windows 365 are often compared, they solve different business challenges. In this episode of M365.FM, Microsoft MVP Shabaz Darr explains the architecture, licensing, deployment strategies, and real-world use cases for both platforms. The discussion provides practical guidance for IT leaders, cloud architects, Microsoft ...

Moving workloads into Microsoft Azure is only the beginning of a successful cloud journey. Building a cloud platform that is secure, scalable, automated, and developer-friendly requires a completely different mindset. In this episode of M365.FM, Microsoft MVP Jev Suchoi explains how Platform Engineering helps organizations build reusable cloud foundations that enable innovation while maintaining governance, security, and operational excellence. The discussion explores Azure Landing Zones, Infras...

Modern Microsoft 365 development is about far more than writing code. Organizations expect solutions that integrate seamlessly across SharePoint, Microsoft Teams, Microsoft Graph, Azure, and Microsoft 365 while remaining scalable, secure, maintainable, and ready for future innovation. In this episode of M365.FM, Microsoft MVP Julie Turner shares decades of real-world experience designing enterprise-grade Microsoft 365 solutions. From SharePoint Framework (SPFx) and Microsoft Graph to PnPjs, open...

Heather Cook shares her remarkable journey from studying theater to becoming one of Microsoft's most influential community leaders. Her Microsoft story began more than 25 years ago when she joined the original SharePoint "Tahoe" project, helping write the very first customer case studies that introduced SharePoint to the world. From there, she built a career around customer advocacy, event production, marketing, and community engagement, eventually becoming a Microsoft MVP before joining Microso...

Mark Orr shares his extraordinary journey from serving three combat tours in Iraq as a United States Marine Corps radio and satellite communications specialist to becoming a Microsoft MVP, enterprise architect, and respected Microsoft security expert. He explains how military experience introduced him to networking, satellite communications, IP protocols, and infrastructure management before eventually leading him into Microsoft technologies, Microsoft Intune, Entra ID, automation, and cloud sec...

You use AI tools. You want more than basic interactions. Microsoft Copilot is an advanced AI assistant. It integrates into Microsoft 365. It transforms enterprise productivity. This blog guides you in Mastering Microsoft Copilot. You gain significant productivity. Jess Stratton, an expert, shares insights. You will learn advanced prompt engineering. You will learn deep integration strategies across Microsoft 365 apps. You will conquer AI overwhelm. You will drive creative inspiration. Key Tak...

You pour significant resources into your enterprise data infrastructure, yet you often find your investment does not yield the promised value. This frustration is common, but the issue often resides not within the technology itself—your Dataverse Strategy Broken approach is failing to deliver the scalable governance and security your organization requires. This flawed methodology impacts your entire digital transformation journey, leading to governance debt and unmonitored shadow AI. Failures...

Explore agentic AI for IT operations with Christiaan Brinkhoff: Windows 365, Intune, AI agents, governance, security, and Microsoft's agentic OS vision.

Building Enterprise AI plays a vital role in driving business value. However, many organizations struggle to transition from pilot projects to full-scale implementations. Common challenges include inadequate infrastructure, data issues, and a lack of change management. You need to establish clear success metrics to measure progress effectively. Research shows that 72% of enterprises are measuring the ROI of Generative AI, highlighting the importance of focusing on measurable outcomes. Additional...

Many organizations mistakenly view Microsoft Purview as a complete solution for data governance. This misunderstanding can lead to significant challenges in managing data effectively. Relying solely on Purview without a clear strategy may result in chaotic data environments and confusion over permissions. Recognizing the limitations of this tool is essential for organizations aiming to implement a successful data governance framework. Key Takeaways Microsoft Purview is not a complete solu...

In today's data-driven world, becoming an Excel Expert means leveraging Excel and AI as powerful allies in managing information. You can unlock new insights and streamline your decision-making processes with these tools. For instance, nearly 90% of finance teams still rely on Excel for financial modeling, despite the rise of AI tools. This reliance highlights Excel's flexibility and functionality in handling complex data. Moreover, integrating AI into Excel has proven to enhance productivity....

For decades, enterprise software followed a predictable financial model. Organizations purchased licenses, assigned them to users, and budgeted annual IT spending with confidence. AI changes that completely. Modern AI platforms are no longer sold purely as software—they're becoming consumption-based services where autonomous agents perform work on your behalf. Every action, every reasoning cycle, every orchestration task, and every AI workflow consumes credits instead of simply using a fixed lic...

Many AI agents start out fast, responsive, and surprisingly intelligent. But after a few months of real-world use, something changes. Response times increase, costs rise, prompts become enormous, and accuracy begins to decline. Organizations often respond by upgrading to larger models, expanding prompts, or adding more orchestration—but the underlying problem remains. The issue isn't the model. It's the architecture. This episode explains why monolithic prompts create what is known as the Contex...

For years, Microsoft's recommended architecture for connecting AI assistants like Claude Desktop to Dataverse relied on a local STDIO proxy. It was simple, easy to install, and perfectly suited for individual developers experimenting with AI-powered workflows. But enterprise AI has evolved. Organizations are no longer connecting a single assistant to a single application. They're connecting hundreds—or even thousands—of AI agents across multiple clients, platforms, and business systems. That arc...

For more than two decades, CI/CD pipelines have been the backbone of modern software delivery. Developers commit code, automated builds run, tests execute, security scans complete, someone approves the deployment, and production is updated. This model transformed software engineering and enabled DevOps to become the industry standard. But the world has changed. Cloud-native applications, Kubernetes, AI, multi-cloud architectures, and thousands of daily deployments have pushed traditional pipelin...

At first glance, the numbers look incredible. Deployment frequency is increasing, pull requests are being merged faster than ever, AI is generating more code, and engineering teams appear dramatically more productive. Executive dashboards are filled with green indicators suggesting software delivery has entered a new golden age. But beneath those impressive metrics lies a very different reality. AI has accelerated code generation, but it hasn't eliminated engineering work. Instead, it has shifte...

Welcome to another episode of Knowledge Nuggets with Mirko Peters. Today we're exploring The DevOps Tax—the hidden cost that silently reduces engineering productivity, increases cognitive overload, and prevents organizations from delivering software at scale. DevOps began with a simple but powerful vision: "You build it, you run it." Small, autonomous teams would own their applications from development through production, eliminating handoffs between developers and operations. For many organizat...