In this episode, we challenge one of the most common management instincts: optimization. Because what if the constant drive to make everything more efficient is actually the thing slowing your organization down? Drawing on real patterns from Microsoft 365 environments, we explore why performance doesn’t come from perfectly tuned processes, but from how work actually flows through your system—where access, context, and structure matter more than control. If you’ve ever wondered why your organization feels busy but not effective, this episode will change how you see performance entirely.
In a world where businesses strive for efficiency, many fall into the optimization trap. You may think that optimizing individual parts will enhance performance. However, this often leads to fragmented systems and slower decision-making. Instead, consider the concept of a Designed Organization. This approach focuses on creating cohesive systems that enhance overall flow and adaptability. By embracing design over mere optimization, you can unlock true potential within your organization.
Key Takeaways
- Avoid the optimization trap. Focus on creating cohesive systems instead of optimizing individual parts.
- Recognize the costs of over-optimization. It can lead to wasted resources, increased complexity, and slower decision-making.
- Embrace simplicity in your organization. Simplifying processes enhances clarity and reduces confusion.
- Prioritize adaptability. Organizations that adapt quickly to change are more resilient and successful.
- Implement effective feedback loops. They help identify performance issues and foster a culture of continuous improvement.
- Align organizational goals with reality. Strong alignment leads to better performance and higher employee engagement.
- Shift your mindset from control to orchestration. Encourage collaboration and empower teams to make decisions.
- Leverage AI to enhance performance. Use AI tools to automate tasks and improve decision-making processes.
Costs of Over-Optimization
The Trap of Premature Optimization
You may think that optimizing too early can lead to better results. However, this often leads to significant drawbacks. Premature optimization can waste resources and time. As a famous saying goes, “premature optimization is the root of all evil.” Many organizations fall into this trap by focusing on aspects that do not yield substantial improvements. For instance, startups often burn budgets on scaling infrastructure before confirming product-market fit. Teams may spend countless hours on micro-optimizations that do not significantly enhance performance. Leadership might make hasty decisions that ultimately cause productivity drops or increased maintenance costs.
Remember, the mental model of the '3T’s of optimization' (Thing, Time, Trade-offs) highlights that optimizing the wrong thing, at the wrong time, or with poor trade-offs leads to inefficiencies and higher costs.
Complexity and Organizational Drag
Over-optimization often results in increased complexity within your organization. This complexity can create organizational drag, slowing down processes and decision-making. Consider the following table that illustrates how complexity can hinder productivity:
| Evidence Type | Description |
|---|---|
| Meeting Overload | Excessive time spent in meetings detracts from actual work, leading to reduced productivity. |
| Outdated Processes | Old technology requires constant maintenance, hindering efficiency and increasing organizational drag. |
| Nonessential Work | Accumulation of unnecessary tasks over time due to complexity drains focus and performance. |
| Financial Implications | Unnecessary meetings could cost organizations over $25,000 per employee per year. |
When you allow complexity to creep into your organization, you create barriers to effective performance. This complexity can lead to confusion, miscommunication, and ultimately, a decline in overall performance.
Local Excellence vs. Global Performance
Focusing on local excellence can be detrimental to global performance. When teams optimize their individual functions without considering the bigger picture, they reinforce silos. This fragmentation can slow down decision-making and reduce the overall effectiveness of your organization. You might achieve excellence in one area, but if it does not align with the organization's goals, it can lead to inefficiencies elsewhere.
Common Optimization Pitfalls
Chasing Perfection
You may find yourself caught in the pursuit of perfection. This quest can lead to significant delays in decision-making. When you focus excessively on details, you risk missing valuable opportunities. Increased costs often arise from the need for constant revisions and adjustments. For instance, when seeking approval for a low-value pilot project, constant requests for more data can stall progress. As the saying goes, “A good solution applied with vigor now is better than a perfect solution applied ten minutes later.” This highlights the importance of timely action over unattainable perfection.
Over-Engineering Processes
Over-engineering processes can create unnecessary complexity within your organization. This complexity often leads to several negative consequences:
| Consequence | Description |
|---|---|
| Add unnecessary complexity | Over-engineering leads to systems that are more complicated than necessary. |
| Increase development costs | Choosing complex solutions raises both time and financial costs. |
| Increase maintenance costs | Complex systems are harder to maintain, leading to higher ongoing expenses. |
| Reduce iteration speed | Complexity slows down the ability to iterate and adapt to market needs. |
| Avoid market-fit | Over-engineered products may fail to meet market demands effectively. |
When you over-engineer, you complicate processes without delivering real benefits. This can hinder your organization's ability to adapt and respond to market changes effectively.
Governance as a Control Framework
Excessive governance can stifle collaboration and reinforce silos within your organization. Teams often protect what they don’t trust others to handle. Governance can feel more like control than collaboration. This leads to several issues:
- Teams duplicate work as they clean and transform the same data without a single source of truth.
- Inconsistent metrics arise when different dashboards present conflicting information.
- Decision-making slows down as leaders hesitate due to distrust in the data's accuracy.
When governance becomes a control framework, it can create barriers to effective communication and collaboration. Instead of fostering a culture of shared accountability, it can lead to confusion and inefficiency.
By recognizing these common optimization pitfalls, you can take steps to avoid them. Focus on creating a designed organization that values flow and adaptability over rigid optimization strategies.
Real-World Examples of Optimization Failures
Case Study: Supply Chain Optimization
A notable example of supply chain optimization failure occurred with KFC in 2018. The company faced a significant chicken shortage due to inadequate due diligence on a new supply chain partner. As a result, 750 branches ran out of chicken. A press release stated, “We've brought a new delivery partner onboard, but they've had a couple of teething problems - getting a fresh chicken out to 900 restaurants across the country is pretty complex!” This incident highlights the disastrous consequences of poorly planned supply chain optimizations. You can see how focusing on efficiency without considering the entire system can lead to chaos.
Case Study: Software Complexity
In the realm of software development, many organizations experience failures due to over-optimization. Here are some key lessons learned:
- Premature optimization can lead to increased code complexity, making it harder to understand and maintain.
- It can waste development time by focusing on trivial optimizations instead of essential features.
- Developers may optimize parts of the code that are not actual bottlenecks, thus solving the wrong problem.
- Optimized code often becomes rigid, reducing flexibility to adapt to changing requirements.
These pitfalls illustrate how chasing optimization can hinder your ability to build the right products and respond to market needs effectively.
Lessons from Fragile Organizations
Organizations that become fragile due to over-optimization often face significant challenges. Over-optimization narrows decision-making and reduces strategic optionality. Excessive efficiency metrics suppress experimentation before it can deliver value. Innovation declines when organizations optimize for certainty instead of learning. Leaders may reward local efficiency while unintentionally damaging system-wide outcomes.
A 2023 OECD report found that organizations applying strict efficiency KPIs to innovation pipelines saw up to a 30% reduction in breakthrough outcomes compared to those using learning-based metrics. For instance, a global software firm optimized its product teams around velocity metrics, leading to impressive output in the short term. However, within two years, customer adoption stalled as teams focused on speed rather than delivering what truly mattered.
As Seneca wisely noted, "It is in times of security that the spirit should be preparing itself for difficult times." This quote reminds you that while optimization feels efficient, it can quietly remove redundancy, which is essential for resilience.
Principles of a Designed Organization

Embracing Simplicity
Simplicity is a cornerstone of a designed organization. When you simplify processes, you enhance clarity and reduce confusion. A leading petrochemical company demonstrated this principle by cutting the number of committees from 24 to 9. This change reduced governance time by over 50%. Executives could then focus more on business operations, improving overall agility and effectiveness.
A designed organization prioritizes clarity. You should aim for a structure that is as clear and simple as possible. This approach not only streamlines decision-making but also fosters a culture where employees can perform at their best. Effective organizational design balances efficiency with flexibility, creating a competitive advantage that leads to improved performance.
Prioritizing Adaptability
Adaptability is essential for thriving in today’s fast-paced business environment. Organizations that embed adaptability into their strategies respond better to disruptions. You can enhance resilience by fostering psychological safety, which allows teams to take risks and learn from challenges. Strong relationships and teamwork support this adaptability, guided by leadership that navigates teams through change.
Consider these key points about prioritizing adaptability:
- Organizations that prioritize adaptability see improved employee engagement.
- They achieve long-term competitive advantages.
- Continuous learning and reflection are vital for building resilience.
By embracing change, you cultivate a culture that strengthens your organization in the face of adversity. The ability to evolve becomes a primary competitive advantage in rapidly changing environments.
Building Effective Feedback Loops
Effective feedback loops are crucial for continuous improvement in organizational performance. They help you identify areas that need enhancement and enable data-driven decision-making. This process fosters a culture of learning and adaptation within your organization.
Here are some benefits of implementing feedback loops:
- They allow for quick identification of performance bottlenecks.
- They enhance overall performance by making informed decisions.
- They create an environment where learning and improvement are prioritized.
By establishing these loops, you can ensure that your organization remains agile and responsive to both internal and external changes. This approach aligns with the principles of a designed organization, where flow and adaptability are paramount.
| Principle | Description |
|---|---|
| Alignment | Structure, processes, rewards, and people practices should reinforce desired actions and behaviors to achieve goals. |
| Clarity and Simplicity | The organization should be as clear and simple as possible. |
| Active Leadership | Leaders must communicate strategy and create decision frameworks for employees. |
| Stability and Adaptability | A stable structure should allow for a high degree of adaptability. |
By focusing on these principles, you can create a designed organization that outperforms those relying solely on optimization.
Enhancing Performance Through Flow Architecture
Decision Flow and Authority
You can improve your organization’s performance by redesigning how decisions flow and who holds authority. When you clarify decision-making roles, you reduce confusion and speed up actions. A Fortune 500 financial services company found that simply changing their structure did not help until they defined which decisions mattered and who had the power to make them. After this change, worker satisfaction rose, and the company delivered products faster.
Research shows that each extra management layer adds coordination costs and slows decisions without improving quality. McKinsey links faster decision cycles to higher growth and adaptability.
By building transparency and accountability into decision flow, you create a system where people know their responsibilities. This clarity reduces delays and empowers teams to act quickly. You can increase your organization’s agility and overall performance by focusing on decision flow and authority.
Data Flow and Context
Optimizing data flow and sharing context improves collaboration and outcomes. You should design workflows that capture important details consistently and keep everyone accountable. Consider these principles:
- Structure beats improvisation: Use standardized forms and clear steps to ensure no critical information gets lost.
- Written beats verbal: Document ideas so people can think carefully and preserve context.
- Widespread input beats small-group thinking: Invite contributions from many people to boost innovation and transparency.
When you improve data flow, teams work with the same facts and understand the bigger picture. This alignment reduces errors and speeds up problem-solving. Clear data flow supports better decisions and enhances your organization’s performance.
Interaction Flow Among Teams
Smooth interaction flow among teams leads to higher efficiency and stronger culture. When communication improves, teams generate ideas faster and solve problems more quickly. Open collaboration builds trust and aligns goals across the organization. You can reduce duplicated work and use resources better by breaking down silos.
| Evidence Type | Findings |
|---|---|
| Centralized vs Decentralized | Centralized works for simple tasks; decentralized networks excel at complex problem-solving. |
| Informationally-Efficient Networks | These networks find good solutions fast but may miss the best ones. |
| Role Clarity Impact | Clear roles boost efficiency by 53%, effectiveness by 27%, and overall performance by 25%. |
- Breaking silos increases innovation and speeds decision-making.
- It strengthens culture through trust and transparency.
- It connects individual work to the organization’s mission, raising employee satisfaction.
The Impact of AI on Organizational Design
Artificial intelligence reshapes how you design workflows and improve performance. AI tools can boost productivity by automating routine tasks and providing real-time insights. For example, generative AI assistants raise productivity by 14% on average, with even higher gains for less experienced employees. AI-enabled HR platforms cut administrative work by 27% and shorten onboarding by 23%. Personalized AI learning systems improve training completion and employee satisfaction.
| Evidence Type | Findings | Source |
|---|---|---|
| Productivity Improvement | Generative AI assistants increase productivity by 14% | Brynjolfsson, Li, Raymond (2023) |
| Administrative Workload Reduction | AI reduces admin tasks by 27%, onboarding time by 23% | Gartner (2021) |
| Enhanced Employee Engagement | AI-driven learning boosts training completion by 22%, satisfaction by 19% | Valtonen et al. (2025) |
| Continuous Feedback | AI enables ongoing performance feedback, fostering learning culture | Dima et al. (2024) |
AI reveals weaknesses in your current design by amplifying delays and fragmented truths. To harness AI’s full potential, you must redesign workflows to clarify decision ownership, data flow, and team interactions. This approach helps you absorb AI insights quickly and improve performance sustainably.
By focusing on flow architecture—decision flow, data flow, and interaction flow—you create a resilient organization. This design supports faster decisions, better collaboration, and effective AI integration. Ultimately, you unlock higher performance and adaptability in a complex world.
Why a Designed Organization Outperforms Optimization
Sustainable Performance
A designed organization fosters sustainable performance by integrating advanced digital capabilities. These capabilities enhance operational efficiency through tools like big data analytics and AI. They help organizations achieve economic, environmental, and social goals over time. For instance, organizations that leverage digital dynamic capabilities (DDC) can innovate sustainably. They adopt technologies such as blockchain and 3D printing, which promote eco-friendly practices and reduce waste.
| Evidence Type | Description |
|---|---|
| Digital Dynamic Capabilities (DDC) | Enhances sustainable performance by improving operational efficiency through advanced digital tools. |
| Long-term Sustainability Metrics | DDC contributes to achieving economic, environmental, and social goals in a balanced manner. |
| Green Innovation | Strong digital capabilities facilitate technologies that promote sustainable practices. |
Reducing Risk and Complexity
Designed organizations excel at reducing risk and complexity. Streamlining decision-making processes helps you navigate challenges more effectively. By focusing on inefficiencies at organizational interfaces, you can mitigate risks. Changing behaviors and mindsets is crucial for successful complexity reduction. Here are some key strategies:
- Simplify decision-making to enhance clarity.
- Identify and address inefficiencies that create confusion.
- Foster a culture of openness to encourage collaboration.
These strategies empower your organization to respond swiftly to changes and uncertainties.
Aligning Goals with Reality
Aligning organizational goals with reality leads to better business outcomes. Research shows that companies with strong alignment grow revenue 58% faster and are 72% more profitable than misaligned companies. Additionally, CEOs in the top quartile of organizational alignment outperform competitors by at least 10%. Here are some benefits of alignment:
- Aligned organizations achieve 30% higher resource efficiency.
- Employee engagement increases by 24%, while turnover decreases by 19%.
- Companies with aligned employees are 22% more likely to meet financial targets.
By prioritizing alignment, you create a cohesive environment where everyone works toward common objectives. This approach enhances overall performance and adaptability.
To shift from an optimization focus to a design focus, consider these mindset changes:
- Certainty → Curiosity: Embrace curiosity to explore unexpected patterns.
- Control → Orchestration: Transition to orchestrating team capabilities for faster decision-making.
- Expertise → Learning Velocity: Value the ability to learn quickly over deep specialization.
By adopting these principles, you can transform your organization into a designed entity that thrives in a complex world.
In today's rapidly changing business landscape, you must prioritize a designed organization over mere optimization. Embracing this approach allows you to enhance adaptability and flow. Future trends indicate that artificial intelligence will increasingly influence organizational structures. You may also see a rise in flat structures that require new performance optimization methods. Additionally, balancing financial goals with social responsibilities will lead to hybrid models. By focusing on design, you can create a resilient organization ready to thrive in complexity.
Remember, a well-designed organization not only improves performance but also fosters a culture of innovation and collaboration. 🌟
FAQ
What is a Designed Organization?
A designed organization focuses on creating cohesive systems that enhance overall flow and adaptability. It prioritizes how decisions, data, and interactions move within the organization.
Why is over-optimization a problem?
Over-optimization can lead to complexity and fragmentation. It often slows down decision-making and creates silos, hindering overall organizational performance.
How can I improve decision-making in my organization?
You can clarify decision-making roles and streamline processes. This reduces confusion and empowers teams to act quickly, enhancing overall agility.
What role does AI play in organizational design?
AI can automate routine tasks and provide real-time insights. It helps organizations improve performance but requires a well-designed workflow to maximize its benefits.
How can I foster adaptability in my organization?
Encourage a culture of psychological safety and continuous learning. Support strong relationships and teamwork to help your organization respond effectively to change.
What are the key principles of a designed organization?
Key principles include embracing simplicity, prioritizing adaptability, and building effective feedback loops. These principles enhance flow and responsiveness within the organization.
How does alignment impact organizational performance?
Strong alignment between goals and reality leads to better outcomes. Aligned organizations see higher revenue growth, improved employee engagement, and greater resource efficiency.
What mindset shifts are necessary for moving from optimization to design?
Shift from seeking certainty to embracing curiosity. Transition from control to orchestration, and value learning velocity over deep specialization.
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Hello, my name is Mirko Peters and I translate how technology actually shapes business reality.
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Optimization sounds like a smart, disciplined move that defines strong leadership,
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but inside most organizations it is exactly how performance becomes slower and more political over time.
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When you improve one specific part without redesigning the entire system,
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you don't actually create flow and instead you just end up with local excellence
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surrounded by massive organizational drag.
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I want to make a very direct case in this episode because you cannot fix performance
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by simply polishing the individual pieces.
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True performance comes from designing decision flow, data movement,
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human interaction and power as a single operating model.
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And only after that structure is set, does AI actually become useful.
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If this system's level view helps you navigate your work,
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please subscribe as this episode closes out a much larger arc.
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Let me take one step back to explain why optimization became the wrong goal for so many leaders.
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The optimization trap, most leaders never wake up with a plan to fragment their company,
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but they often fall into a trap by making moves that sound completely reasonable on the surface.
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They might tighten up a governance policy or rollout co-pilot to a specific team
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and then they build a power automate flow to remove some manual work
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or standardize how files are named in SharePoint.
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Every one of those moves looks like a win when you view it in isolation,
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but that is exactly where the danger hides.
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Local intelligence is not the same thing as total system performance
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and from a system's perspective, optimization usually happens only at the edge
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of what a leader can actually see.
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A department head focuses on their own output,
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while IT improves security controls,
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and meanwhile, finance pushes for reporting discipline while HR focuses on policy compliance.
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Each function gets much better at protecting its own internal logic,
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but an organization is not just a collection of protected silos.
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The real value exists in the flow between those functions,
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and if that flow is badly designed,
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then every optimization starts acting like structural interference.
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One team might get faster only to hand their work off into a massive queue,
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or perhaps one function produces cleaner data that nobody downstream actually trusts or understands.
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We see platforms get better governed while decisions wait three extra days for approval,
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and departments automate tasks while the actual problem still bounds between inboxes
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because nobody redefined who owns the result.
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The business feels heavier and slower even though every individual team is claiming a major improvement.
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You have likely seen this in organizations with very mature Microsoft 365 environments
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where everything looks perfect on paper.
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They have clear governance docs, well-defined team structures,
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and dashboards covering every possible metric,
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yet execution still feels like waiting through deep mud.
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Decisions take too long, and context gets lost constantly,
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which leads to people rebuilding the same information in every meeting they attend.
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Reporting numbers change depending on who exported the data,
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and ownership becomes a blurry mess the second a project crosses a functional boundary.
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This isn't a contradiction or mistake,
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it is a clear design signal that the system is doing exactly what it was set up to do.
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The problem is that the system wasn't set up for the outcomes that leadership actually wants to achieve.
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This matters because most organizations still mistake visible maturity
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for actual operational capability,
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and they assume that if the tooling looks sophisticated,
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the organization must be sophisticated too.
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They believe that if governance exists, then control must exist,
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and they assume that if they have automation, they must have efficiency.
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None of that is automatically true because performance doesn't come from the quality of isolated components.
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It comes from the alignment between those components,
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but that reality is hard to see because local optimization provides immediate,
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tangible proof of success.
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A team can point to improved SLA numbers or a reduced manual workload,
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and a project sponsor can show a 100% rollout completion rate to prove they did their job.
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Those are real improvements, but they are still only partial truths
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because the business reality sits one level above those metrics.
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Performance lives in the questions we often forget to ask,
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like how long it takes to turn a signal into a concrete action,
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or how many times context has to be rebuilt.
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Before a leader feels safe making a choice.
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We have to look at how often people ask for permission because authority is unclear,
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and we have to measure how much work is happening through side channels
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because the formal route is simply too slow.
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That is where the health of your organization lives,
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and it isn't found in a dashboard showing a completed workflow.
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It is found in whether that workflow actually helped the organization move forward.
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This is exactly why AI is causing so much disappointment right now
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because we hear constant praise for smart models and fast outputs
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yet very little changes on the bottom line.
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The models aren't weak, but the organizations receiving the output are fundamentally slow.
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If an AI can generate a complex answer in three seconds
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while your business still needs three days to validate context and root approvals,
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then your constraint isn't a lack of intelligence.
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Your constraint is architecture,
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and this is where optimization becomes truly dangerous
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because it gives you the illusion of progress
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while protecting the very structures that create the drag.
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You keep improving the parts and the parts keep getting stronger,
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but the whole just keeps getting heavier.
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Once you recognize that pattern, the real question changes from what should we improve?
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To what kind of system are we actually running?
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What an organization really is.
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So let's answer that question directly.
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What are we actually running when we say we run an organization?
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Most people point to the obvious layer first,
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which usually includes the org chart,
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the departments, and the leadership team.
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They look at the tech stack, the policies, the governance model,
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and the set of tools everyone logs into every morning.
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But that visible layer is not the organization.
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It is just the packaging.
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The organization itself is a flow architecture.
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It is the way signals move, the way decisions move,
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and the way data moves through the system.
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It is how context travels between people and how authority shapes
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what is allowed to happen when those flows collide.
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That is what produces business reality.
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When a leader says they have a performance issue
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or an accountability problem,
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I usually take one step back because those are rarely separate issues.
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They are symptoms of the same design.
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From a structural perspective,
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an organization runs on at least three core flows.
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First, we have decision flow.
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This is the path from a signal to a judgment,
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then to a commitment, and finally to action.
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You have to ask who sees the issue first
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and who has enough context to actually decide.
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We need to know who must be consulted, who can say yes,
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and who has the power to stop the move entirely.
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The time a decision sits in uncertainty
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before something happens, matters more than most
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formal operating models admit.
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Strategy is not executed through intent,
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but through repeated decisions made under real conditions.
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Second is data flow.
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This is where truth lives and how it moves,
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yet we often forget to ask
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who gets to interpret it.
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We need to identify the source where the data is changed
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and who owns the definition before duplication begins.
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Often, data gets exported into slides
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because the system itself cannot carry trust,
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which makes data flow a political topic
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rather than a technical one.
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Once multiple versions of truth exist,
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people stop debating reality
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and start defending positions,
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and that is when reporting turns into a negotiation.
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Third, there is interaction flow.
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This is the part many organizations underestimate
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because it gets pushed into the language of culture,
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but structurally it is not soft at all.
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Interaction flow determines how context travels between people,
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where work gets clarified,
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and where ambiguity gets reduced.
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It is where decisions are discussed
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and where history is stored,
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so that handoffs either retain meaning
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or lose it completely.
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Coordination alone is not enough
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and you can coordinate tasks perfectly
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while still failing as an organization.
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If the people inside the system
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do not share enough context and trust,
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then every handoff becomes reconstruction work.
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That is why so many organizations feel busy
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and informed while acting slowly.
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There is a lot of communication happening,
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but the context transfer is weak.
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Beneath those three flows
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sits a fourth force that shapes all of them.
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Power.
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This is where things become real
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because formal process is one thing,
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but actual authority is another.
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Power determines who can override a process,
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delay a decision,
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or ignore the agreed root without any consequences.
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If the org chart says one thing,
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but everybody knows a different person really decides,
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then the real operating model is the power map.
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Behavior is a system outcome.
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People are not acting randomly.
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They are responding rationally
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to the environment the organization creates.
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If approvals are vague, people escalate early,
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and if ownership is unclear, they add more meetings.
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When truth is fragmented,
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people build private spreadsheets,
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and when power is hidden,
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they spend more energy reading politics than reading process.
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That is not a motivation failure.
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It is a design outcome.
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Once you see the organization this way,
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a lot of confusion disappears.
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You stop asking why smart people produce slow results
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and start asking what kind of flow architecture
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would make that result inevitable.
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If decisions are delayed and data is disputed,
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underperformance is not surprising.
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It is predictable.
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Most transformation work fails because it starts
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at the visible layer with a new tool or a new policy.
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The visible layer is not where organizational reality begins.
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It is just where it becomes visible.
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If we redesign only what can be seen
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without fixing the underlying flows,
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we just formalize the confusion.
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Before we talk about better design,
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we have to deal with the assumption
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that governance can rescue a misdesigned organization.
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Why governance doesn't save a misdesigned system?
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Governance matters, but it is not an operating model.
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It is a control framework.
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It tells us what should be allowed,
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what should be reviewed,
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and what should be protected or stopped.
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That has value in environments
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with high compliance pressure or regulatory risk,
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but governance cannot compensate for structural confusion.
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If decision parts are unclear,
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governance does not create clarity.
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It just adds checkpoints to unclear movement.
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If ownership is weak,
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governance does not create accountability.
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It just creates forms that move through the same ambiguity.
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When data is fragmented,
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governance creates rules around that fragmentation
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instead of creating truth.
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I see this constantly in Microsoft 365
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and power platform environments.
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A company realizes things feel messy
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because there are too many teams, too many sites,
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and too many apps.
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The response is almost always more governance
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like new templates, approval boards,
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and naming standards.
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While these are often necessary,
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if the underlying work design stays broken,
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governance just formalizes the friction.
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Now, the people don't just have unclear flow.
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They have unclear flow with paperwork.
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Governance feels like control,
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which gives leadership the sense of visible action.
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There is a policy and a board,
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so it looks like the organization is becoming more mature.
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Sometimes it is, but often it is just becoming slower
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in a more official way.
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Real resilience is not the same thing as administrative weight.
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Too much governance often creates default no behavior.
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This doesn't happen because people are resistant,
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but because the system gives them no safe path to say yes.
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If authority is fuzzy, they escalate,
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and if risk is undefined, they delay.
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When the consequences of a wrong move are visible,
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but the consequences of delay are invisible,
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people protect themselves with caution.
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Requests sit in loops,
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exceptions multiply,
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and meetings become the place where real decisions happen,
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because the formal route is too brittle,
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then shadow governance appears.
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This is the unofficial operating layer
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where a trusted person speeds things up
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or a side-chat settles the real decision.
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That is not an exception to the system.
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It is the system compensating for its own flaws.
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When shadow governance becomes the norm,
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formal governance loses all credibility.
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People stop seeing it as support
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and start seeing it as drag.
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Governance is only critical when it is attached to clear flow.
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It should protect movement, not replace it,
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and it should create trust rather than distributing hesitation.
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Leaders need a standard of minimum viable friction.
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You should place deliberate checkpoints
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only where uncertainty or material risk are actually high.
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If a decision is easy to reverse,
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do not govern it like a merger,
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and if the people closest to the work
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hold the right context,
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do not pull the decision upward.
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From a system perspective,
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that isn't maturity, it's latency.
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The question is whether your governance
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supports the real operating flow
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or quietly competes with it.
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When governance and flow are misaligned,
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the organization pays twice.
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Once in delay, and once again, in compensation.
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Misdesign was always expensive,
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but AI is making the bill impossible to ignore.
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The research signal leaders shouldn't ignore.
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Let's look at the signal.
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At this point, we aren't just having a philosophical debate
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about better organizational design
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because the market is now producing hard evidence
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that misdesigned companies simply cannot capture
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the value of the technology they buy.
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The clearest signal is that around 95%
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of generative AI pilots fail to create
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any measurable impact on the bottom line.
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That number matters because it doesn't actually
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say AI is weak,
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but rather it shows that most organizations
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are trying to accelerate work inside structures
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that are physically unable to absorb that acceleration.
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Most people here are failure rate like that
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and assume the issue must be model quality,
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poor prompting, or perhaps a lack of user adoption.
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When you look more closely,
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the pattern is much more structural
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than a simple technical glitch.
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Pilots happen and the demos look impressive,
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but then the value stalls somewhere between
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the output and the actual business action.
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Teams get excited as use cases
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multiply across the department.
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Yet the hard part was never actually generating
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an answer from the machine.
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The real challenge is integrating that answer
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into real workflows,
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clear ownership, and established trust boundaries.
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In other words, the limiting factor
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isn't model intelligence, its organizational intelligence.
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There's another signal here that leaders should take seriously,
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which is that only a small minority of organizations
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are actually scaling AI in a meaningful way.
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We have broad enthusiasm at the edge of the company,
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but we see very limited structural absorption at the core.
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The bottleneck is not access, it is design.
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You can see the same gap when you look at leadership readiness,
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where CEOs and technology leaders aren't even looking
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at the same reality.
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A much smaller share of CEOs acknowledge integration
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as the real challenge compared to IT leaders
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who are much closer to the day-to-day constraints.
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This gap matters because strategy gets announced at the top,
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while the friction is experienced at the bottom
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and the organization starts speaking two different languages.
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Leadership says they are adopting AI,
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but operation says they still can't move
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a decision across three teams
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without rebuilding the context twice.
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While the board asks for more use cases,
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the people inside the system are struggling
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because they don't even have an agreement
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on which data source is trusted.
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This isn't a communication issue, it's a design split.
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The most revealing part is that workflow redesign
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keeps showing up as the strongest predictor
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of whether a company captures AI value.
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It isn't about tool access or the number of pilots you run,
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yet redesign remains one of the least adopted moves in the playbook.
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Redesign is slower to announce than a pilot
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and it's much harder to package or celebrate
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in a steering committee meeting.
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It forces leadership to confront handoffs,
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power dynamics and role ambiguity,
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which is work that feels less glamorous
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but is exactly where the value comes from.
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Organizations that actually redesign specific workflows
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are seeing dramatic gains in speed and productivity.
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Training cycles are being cut from days to minutes
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and decision cycles are being compressed
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so that reporting happens in near real time.
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These outcomes didn't come from sprinkling AI
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on top of old ways of working,
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but from redesigning the work
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so the AI had a stable path to operate inside.
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If you missed that sequence, AI starts acting like an amplifier
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for your design debt.
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It exposes fragmented truth and reveals approval drag
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much faster than a human ever could.
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It scales bad handoffs and makes power misalignment
365
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more expensive because distorted decisions
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can now propagate at machine speed.
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When leaders ask why they aren't seeing value,
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the honest answer is usually that the value is being blocked
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by the organization itself.
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The people aren't incapable and the technology isn't immature
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but the operating model underneath is too fragmented
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to convert intelligence into action.
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AI is not creating the design problem,
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it is simply revealing the problem that was already there.
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Once you see that, the conversation changes
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because the real constraint is no longer model speed,
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its organizational speed.
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And decision velocity is the real performance metric.
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If organizational speed is the real constraint,
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then we need a better performance metric
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than just output or activity.
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We need to look at decision velocity
383
00:14:42,120 --> 00:14:44,760
which is the time between a meaningful signal appearing
384
00:14:44,760 --> 00:14:46,680
and the organization actually acting on it.
385
00:14:46,680 --> 00:14:48,760
I'm not talking about when the dashboard updated
386
00:14:48,760 --> 00:14:50,760
or when the AI generated a recommendation
387
00:14:50,760 --> 00:14:52,520
but when that signal was judged,
388
00:14:52,520 --> 00:14:55,080
committed to and translated into a real business move.
389
00:14:55,080 --> 00:14:56,920
That is the metric that matters now
390
00:14:56,920 --> 00:15:00,600
because AI has changed one side of the equation completely.
391
00:15:00,600 --> 00:15:02,360
The system can now generate predictions,
392
00:15:02,360 --> 00:15:05,000
classifications and recommendations in seconds,
393
00:15:05,000 --> 00:15:08,200
effectively compressing analysis and reducing search time.
394
00:15:08,200 --> 00:15:10,360
If the organization still needs three meetings
395
00:15:10,360 --> 00:15:12,360
to interpret that output and two more approvals
396
00:15:12,360 --> 00:15:13,400
to validate ownership,
397
00:15:13,400 --> 00:15:16,120
then the actual operating speed hasn't improved at all.
398
00:15:16,120 --> 00:15:17,080
The model got faster,
399
00:15:17,080 --> 00:15:19,480
but the organization stayed exactly where it was.
400
00:15:19,480 --> 00:15:21,320
This is where a lot of executive reporting
401
00:15:21,320 --> 00:15:23,160
becomes misleading for the business.
402
00:15:23,160 --> 00:15:25,160
We measure model quality and prompt volume
403
00:15:25,160 --> 00:15:26,520
and those numbers can all go up
404
00:15:26,520 --> 00:15:29,160
while decision velocity stays almost completely unchanged.
405
00:15:29,160 --> 00:15:31,400
The business feels stuck even though the dashboard says
406
00:15:31,400 --> 00:15:33,560
there is progress and from a system perspective
407
00:15:33,560 --> 00:15:35,000
that makes perfect sense.
408
00:15:35,000 --> 00:15:36,840
Model performance and operational performance
409
00:15:36,840 --> 00:15:37,880
are not the same thing
410
00:15:37,880 --> 00:15:39,480
and a model can be fast and accurate
411
00:15:39,480 --> 00:15:41,240
without the business ever moving an inch.
412
00:15:41,240 --> 00:15:43,400
If the surrounding architecture cannot absorb
413
00:15:43,400 --> 00:15:44,600
what the AI produces,
414
00:15:44,600 --> 00:15:47,400
then the value remains trapped inside the recommendation layer.
415
00:15:47,400 --> 00:15:49,480
Decision velocity is a much more honest metric
416
00:15:49,480 --> 00:15:52,360
because it forces us to measure the full path from signal to action.
417
00:15:52,360 --> 00:15:54,840
We have to look at where the path slows down
418
00:15:54,840 --> 00:15:56,600
and it's usually in very familiar places
419
00:15:56,600 --> 00:15:58,680
like approval chains or unclear ownership.
420
00:15:58,680 --> 00:16:00,040
Teams often wait for alignment
421
00:16:00,040 --> 00:16:02,200
because no one knows whether a decision is reversible
422
00:16:02,200 --> 00:16:04,280
and these aren't just minor administrative issues.
423
00:16:04,280 --> 00:16:06,840
They are velocity drains that have become more obvious
424
00:16:06,840 --> 00:16:10,280
because the old gap between analysis and execution was smaller.
425
00:16:10,280 --> 00:16:12,120
When humans produced analysis slowly,
426
00:16:12,120 --> 00:16:13,960
the rest of the organization could pretend
427
00:16:13,960 --> 00:16:17,080
the pace was normal but now the front end of the process has accelerated.
428
00:16:17,080 --> 00:16:18,760
The rest of the system is now exposed
429
00:16:18,760 --> 00:16:20,440
because AI gives you the answer quickly
430
00:16:20,440 --> 00:16:23,560
which means every structural delay after that point becomes visible.
431
00:16:23,560 --> 00:16:25,400
You can no longer hide weak design
432
00:16:25,400 --> 00:16:27,640
behind slow information production
433
00:16:27,640 --> 00:16:30,360
and that is why so many leaders feel this tension today.
434
00:16:30,360 --> 00:16:32,360
The technology isn't just ahead of the business.
435
00:16:32,360 --> 00:16:36,600
It is showing the business how slow its internal decision architecture really is.
436
00:16:36,600 --> 00:16:38,600
Competitive advantage is shifting away
437
00:16:38,600 --> 00:16:42,040
from simple access to information or scale of execution.
438
00:16:42,040 --> 00:16:44,520
Once intelligence becomes cheaper and faster,
439
00:16:44,520 --> 00:16:46,520
the advantage moves toward the organization
440
00:16:46,520 --> 00:16:49,400
that can convert that intelligence into action with less delay.
441
00:16:49,400 --> 00:16:51,880
This is a design issue rather than a tool issue
442
00:16:51,880 --> 00:16:54,760
and the winner won't be the company with the most co-pilots.
443
00:16:54,760 --> 00:16:57,080
The winner will be the company where the path
444
00:16:57,080 --> 00:17:00,360
from knowing to doing is structurally clean and authority is clear.
445
00:17:00,360 --> 00:17:02,840
In those organizations, context travels with the work
446
00:17:02,840 --> 00:17:06,200
and not every decision gets dragged into the same heavy governance gravity.
447
00:17:06,200 --> 00:17:07,560
Trust in the data is high enough
448
00:17:07,560 --> 00:17:11,240
that teams don't have to renegotiate reality every time they try to move forward.
449
00:17:11,240 --> 00:17:12,760
If I were looking at performance today,
450
00:17:12,760 --> 00:17:15,880
I would ask how long it takes to act on a known issue
451
00:17:15,880 --> 00:17:18,840
or how many handoffs happened before a commitment is made.
452
00:17:18,840 --> 00:17:21,400
We need to know how often a recommendation stalls
453
00:17:21,400 --> 00:17:23,480
because nobody knows who actually decides
454
00:17:23,480 --> 00:17:27,080
and whether that delay is caused by real risk or just simple ambiguity.
455
00:17:27,080 --> 00:17:28,840
That is the real operating picture
456
00:17:28,840 --> 00:17:31,000
because once you understand decision velocity,
457
00:17:31,000 --> 00:17:33,880
you stop treating slowness as a vague culture problem.
458
00:17:33,880 --> 00:17:36,040
You see it for what it really is, a design problem.
459
00:17:36,040 --> 00:17:39,480
Decision flow, design for clarity, speed and minimal friction.
460
00:17:39,480 --> 00:17:41,880
Let's start with the concept of decision flow itself
461
00:17:41,880 --> 00:17:45,160
because this is exactly where performance either compounds or gets trapped.
462
00:17:45,160 --> 00:17:47,160
Most organizations operate under the assumption
463
00:17:47,160 --> 00:17:50,120
that decisions happen where the org chart says they should,
464
00:17:50,120 --> 00:17:52,280
but that is rarely the case in reality.
465
00:17:52,280 --> 00:17:54,920
In a functioning system, decisions actually happen
466
00:17:54,920 --> 00:17:58,120
where context, trust, risk and authority intersect in real time
467
00:17:58,120 --> 00:18:00,760
and those four elements are not always found in the same office.
468
00:18:00,760 --> 00:18:04,360
You might have a senior leader who holds the formal accountability on paper
469
00:18:04,360 --> 00:18:08,360
but the real judgment often sits with the person closest to the daily work.
470
00:18:08,360 --> 00:18:11,720
Sometimes the opposite happens where a team appears to be empowered
471
00:18:11,720 --> 00:18:14,440
but every meaningful move still gets pulled upward
472
00:18:14,440 --> 00:18:17,400
because nobody actually trusts the boundaries of that empowerment.
473
00:18:17,400 --> 00:18:20,600
This gap between where a decision is supposed to happen
474
00:18:20,600 --> 00:18:24,440
and where it actually lands is where institutional drag begins to take hold.
475
00:18:24,440 --> 00:18:28,440
When we design for flow, our first job isn't to ask who needs to be kept in the loop
476
00:18:28,440 --> 00:18:31,160
but rather to ask where the decision should actually live.
477
00:18:31,160 --> 00:18:33,560
We have to identify who has the best context
478
00:18:33,560 --> 00:18:36,040
and who carries the ultimate consequence of the choice.
479
00:18:36,040 --> 00:18:39,480
We need to know who can act without creating downstream confusion
480
00:18:39,480 --> 00:18:41,960
and we must distinguish between who needs visibility
481
00:18:41,960 --> 00:18:43,400
and who actually needs control.
482
00:18:43,400 --> 00:18:45,880
Most organizations blur those two things together
483
00:18:45,880 --> 00:18:48,120
and treat visibility like a form of entitlement.
484
00:18:48,120 --> 00:18:50,440
They assume that if someone is affected by a change,
485
00:18:50,440 --> 00:18:53,160
that person must also approve it or if someone is senior,
486
00:18:53,160 --> 00:18:54,680
they must be the one to decide.
487
00:18:54,680 --> 00:18:57,000
There is a common belief that if something feels important,
488
00:18:57,000 --> 00:18:58,600
it naturally needs more friction
489
00:18:58,600 --> 00:19:00,920
but from a system perspective that isn't disciplined.
490
00:19:00,920 --> 00:19:02,600
That is just delay logic.
491
00:19:02,600 --> 00:19:05,400
A more resilient design starts by separating decisions
492
00:19:05,400 --> 00:19:07,400
into different types based on their impact.
493
00:19:07,400 --> 00:19:10,440
Some choices are reversible meaning you can test an idea,
494
00:19:10,440 --> 00:19:13,400
learn from the result and adapt or recover if it fails.
495
00:19:13,400 --> 00:19:17,000
These decisions should move as close to the point of work as possible,
496
00:19:17,000 --> 00:19:20,040
moving fast with light structure and clear intent.
497
00:19:20,040 --> 00:19:22,040
Other decisions are much harder to reverse
498
00:19:22,040 --> 00:19:24,440
because they affect trust, regulatory exposure
499
00:19:24,440 --> 00:19:26,360
or long term operating architecture.
500
00:19:26,360 --> 00:19:27,640
These deserve more friction
501
00:19:27,640 --> 00:19:29,480
but it shouldn't be the kind of vague friction
502
00:19:29,480 --> 00:19:31,400
that slows things down for no reason.
503
00:19:31,400 --> 00:19:34,920
We want deliberate friction or what I call "minimum viable friction"
504
00:19:34,920 --> 00:19:37,480
which provides just enough structure to test assumptions
505
00:19:37,480 --> 00:19:39,880
and scan for impact before making a commitment.
506
00:19:39,880 --> 00:19:41,480
This doesn't require 10 people in a room
507
00:19:41,480 --> 00:19:44,600
or three layers of signatures born out of a fear of being blamed later.
508
00:19:44,600 --> 00:19:46,040
It can be as simple as asking
509
00:19:46,040 --> 00:19:47,800
"what must be true for this to work?"
510
00:19:47,800 --> 00:19:50,120
and "who is materially affected by the outcome?"
511
00:19:50,120 --> 00:19:52,040
That is friction in service of quality
512
00:19:52,040 --> 00:19:55,480
rather than friction in service of institutional anxiety.
513
00:19:55,480 --> 00:19:57,160
The problem is that many organizations
514
00:19:57,160 --> 00:19:59,400
put the heaviest friction in the wrong places
515
00:19:59,400 --> 00:20:02,360
leaving routine decisions stuck in approval gravity
516
00:20:02,360 --> 00:20:04,360
while strategic moves happen too fast.
517
00:20:04,920 --> 00:20:06,920
Teams might spend days getting permission
518
00:20:06,920 --> 00:20:08,280
for a low-risk action
519
00:20:08,280 --> 00:20:12,040
yet they launch high-risk changes with unclear accountability
520
00:20:12,040 --> 00:20:14,600
just because the project had executive energy behind it.
521
00:20:14,600 --> 00:20:16,520
That isn't a framework for success.
522
00:20:16,520 --> 00:20:18,760
It is just inconsistency at scale.
523
00:20:18,760 --> 00:20:22,120
To improve this flow, you need to make a few specific design moves
524
00:20:22,120 --> 00:20:24,360
starting with the clear definition of decision owners.
525
00:20:24,360 --> 00:20:25,720
We aren't talking about committees
526
00:20:25,720 --> 00:20:27,160
or vague leadership alignment
527
00:20:27,160 --> 00:20:28,600
but rather one specific role
528
00:20:28,600 --> 00:20:30,600
that carries the responsibility to make the call.
529
00:20:30,600 --> 00:20:33,000
Input can be as broad as you want
530
00:20:33,000 --> 00:20:34,600
but ownership must remain singular.
531
00:20:34,600 --> 00:20:37,080
Next, you have to define contributor roles
532
00:20:37,080 --> 00:20:38,680
separately from approval roles
533
00:20:38,680 --> 00:20:41,560
to prevent every discussion from turning into a hidden veto process.
534
00:20:41,560 --> 00:20:43,560
Many people need to inform a decision
535
00:20:43,560 --> 00:20:45,960
but very few should actually be able to block it.
536
00:20:45,960 --> 00:20:48,440
You also need to set explicit escalation thresholds
537
00:20:48,440 --> 00:20:50,280
so people know exactly what stays local
538
00:20:50,280 --> 00:20:51,560
and what moves upward.
539
00:20:51,560 --> 00:20:53,560
Without these markers, people will escalate
540
00:20:53,560 --> 00:20:54,840
based on fear or habit
541
00:20:54,840 --> 00:20:57,160
and your organizational speed will collapse.
542
00:20:57,160 --> 00:20:59,800
Finally, you have to remove performative approvals
543
00:20:59,800 --> 00:21:02,200
that exist only to signal a sense of control.
544
00:21:02,200 --> 00:21:04,520
Everyone knows these steps add very little judgment
545
00:21:04,520 --> 00:21:07,480
but they stay in place because they make the system feel governed.
546
00:21:07,480 --> 00:21:09,800
In reality, they just create traffic
547
00:21:09,800 --> 00:21:11,240
without adding quality,
548
00:21:11,240 --> 00:21:13,800
leading people to stop trusting the formal route entirely.
549
00:21:13,800 --> 00:21:15,640
None of this is about removing human judgment
550
00:21:15,640 --> 00:21:17,640
which actually becomes more important as AI
551
00:21:17,640 --> 00:21:19,640
becomes more available in our workflows.
552
00:21:19,640 --> 00:21:22,200
But that judgment has to be structurally placed
553
00:21:22,200 --> 00:21:24,920
so the organization knows exactly where discernment lives
554
00:21:24,920 --> 00:21:26,520
when the data is incomplete.
555
00:21:26,520 --> 00:21:28,040
Who evaluates the edge cases
556
00:21:28,040 --> 00:21:30,600
and who owns the call when trade-offs are required?
557
00:21:30,600 --> 00:21:32,360
That is the heart of decision design.
558
00:21:32,360 --> 00:21:33,960
Once you understand flow this way,
559
00:21:33,960 --> 00:21:35,560
you realize that many organizations
560
00:21:35,560 --> 00:21:37,000
don't actually have a decision problem
561
00:21:37,000 --> 00:21:39,000
what they really have is a data design problem
562
00:21:39,000 --> 00:21:40,360
because even with clear authority,
563
00:21:40,360 --> 00:21:41,960
decisions slow down when nobody agrees
564
00:21:41,960 --> 00:21:43,400
on where the truth lives.
565
00:21:43,400 --> 00:21:46,040
Data flow, where truth lives, and how trust moves.
566
00:21:46,040 --> 00:21:48,280
Let's go one layer deeper into the infrastructure
567
00:21:48,280 --> 00:21:50,840
because even when decision rights are perfectly clear,
568
00:21:50,840 --> 00:21:53,880
the system breaks down if the underlying data flow is weak.
569
00:21:53,880 --> 00:21:56,440
This is where many leaders confuse simple data access
570
00:21:56,440 --> 00:21:58,040
with actual data design.
571
00:21:58,040 --> 00:22:00,360
They assume that if a person can open a report
572
00:22:00,360 --> 00:22:01,480
or export a file,
573
00:22:01,480 --> 00:22:03,000
then the truth is available to them
574
00:22:03,000 --> 00:22:06,120
but being available is not the same thing as being trusted.
575
00:22:06,120 --> 00:22:07,160
From a system perspective,
576
00:22:07,160 --> 00:22:10,520
data flow is about much more than just storage or cloud capacity.
577
00:22:10,520 --> 00:22:12,200
It involves the source, the movement,
578
00:22:12,200 --> 00:22:14,360
the ownership, and the timing of information
579
00:22:14,360 --> 00:22:16,120
as it travels through the organization.
580
00:22:16,120 --> 00:22:17,720
We have to know where the data begins
581
00:22:17,720 --> 00:22:19,960
and at what point it stops being operational truth
582
00:22:19,960 --> 00:22:21,720
and starts becoming a local translation.
583
00:22:21,720 --> 00:22:22,920
That last part is critical
584
00:22:22,920 --> 00:22:25,000
because the moment teams start translating data
585
00:22:25,000 --> 00:22:27,160
for their own use without shared definitions,
586
00:22:27,160 --> 00:22:29,240
organizational trust starts to fracture.
587
00:22:29,240 --> 00:22:30,360
It doesn't happen all at once,
588
00:22:30,360 --> 00:22:33,080
but it happens quietly as sales uses one number,
589
00:22:33,080 --> 00:22:35,560
while finance and operations use two others.
590
00:22:35,560 --> 00:22:37,560
When leadership asks for a single report
591
00:22:37,560 --> 00:22:39,160
and gets three different stories,
592
00:22:39,160 --> 00:22:41,480
the problem is no longer about reporting quality.
593
00:22:41,480 --> 00:22:43,640
It is about a total loss of coherence.
594
00:22:43,640 --> 00:22:46,760
This fragmented truth creates massive amounts of rework
595
00:22:46,760 --> 00:22:49,320
as people build their own extracts and spend meetings,
596
00:22:49,320 --> 00:22:51,080
reconciling numbers manually.
597
00:22:51,080 --> 00:22:53,400
They delay action because nobody wants to move on
598
00:22:53,400 --> 00:22:54,680
disputed information
599
00:22:54,680 --> 00:22:56,280
and the decision flow slows down
600
00:22:56,280 --> 00:22:58,280
because the organization cannot establish
601
00:22:58,280 --> 00:22:59,800
a shared reality.
602
00:22:59,800 --> 00:23:02,280
This is where traditional governance usually enters the chat
603
00:23:02,280 --> 00:23:04,600
with metadata policies, data catalogs,
604
00:23:04,600 --> 00:23:05,640
and lineage diagrams.
605
00:23:05,640 --> 00:23:06,760
These tools are all useful,
606
00:23:06,760 --> 00:23:09,480
but only if they actually connect to the way people work.
607
00:23:09,480 --> 00:23:12,120
Data governance without usable pathways
608
00:23:12,120 --> 00:23:14,120
often creates a situation where the chart says
609
00:23:14,120 --> 00:23:15,160
the data has an owner,
610
00:23:15,160 --> 00:23:17,000
but the business still doesn't know who to call
611
00:23:17,000 --> 00:23:18,120
when a metric changes.
612
00:23:18,120 --> 00:23:19,800
When I talk about a line to data flow,
613
00:23:19,800 --> 00:23:22,680
I am describing something much more operational and visible.
614
00:23:22,680 --> 00:23:23,880
In a well-designed system,
615
00:23:23,880 --> 00:23:25,800
core business objects like customers,
616
00:23:25,800 --> 00:23:26,920
projects, or orders
617
00:23:26,920 --> 00:23:28,600
have real accountability behind them.
618
00:23:28,600 --> 00:23:29,960
Definitions stay stable enough
619
00:23:29,960 --> 00:23:32,680
that teams don't have to renegotiate basic meanings every week.
620
00:23:32,680 --> 00:23:34,200
And while everyone might see the data,
621
00:23:34,200 --> 00:23:35,880
not everyone is allowed to redefine it.
622
00:23:35,880 --> 00:23:37,880
Trust moves through legibility.
623
00:23:37,880 --> 00:23:40,600
And if people cannot trace the path of a number,
624
00:23:40,600 --> 00:23:43,560
they will compensate for that lack of clarity with skepticism.
625
00:23:43,560 --> 00:23:45,000
In most corporate environments,
626
00:23:45,000 --> 00:23:47,560
that skepticism turns into politics very quickly.
627
00:23:47,560 --> 00:23:50,120
Now, if you map that reality to the rise of AI,
628
00:23:50,120 --> 00:23:52,680
you'll see that these models don't fix contradictions.
629
00:23:52,680 --> 00:23:53,880
They actually amplify them.
630
00:23:53,880 --> 00:23:55,960
If your environment is already full of duplicate
631
00:23:55,960 --> 00:23:57,960
truth sources and unstable labels,
632
00:23:57,960 --> 00:24:00,120
a tool like Copilot will simply surface
633
00:24:00,120 --> 00:24:03,080
those inconsistencies faster and at a much greater scale.
634
00:24:03,080 --> 00:24:04,600
The model cannot create clarity
635
00:24:04,600 --> 00:24:07,080
where the architecture has preserved ambiguity,
636
00:24:07,080 --> 00:24:08,280
and it will only accelerate
637
00:24:08,280 --> 00:24:10,520
whatever truth structure already exists.
638
00:24:10,520 --> 00:24:13,400
This is exactly why so many AI outputs feel impressive,
639
00:24:13,400 --> 00:24:16,840
but ultimately unreliable when used inside a large enterprise.
640
00:24:16,840 --> 00:24:19,240
The issue is rarely the quality of the sentences
641
00:24:19,240 --> 00:24:20,520
the AI generates,
642
00:24:20,520 --> 00:24:23,240
but rather the trust substrate underneath those sentences.
643
00:24:23,240 --> 00:24:25,160
We have to be able to verify the path
644
00:24:25,160 --> 00:24:28,040
and ensure that permissions reflect real accountability.
645
00:24:28,040 --> 00:24:30,920
These are data flow questions, not prompt engineering questions.
646
00:24:30,920 --> 00:24:32,120
If you want better performance,
647
00:24:32,120 --> 00:24:34,520
you have to stop treating data as a passive asset
648
00:24:34,520 --> 00:24:36,920
and start treating it as an active operating layer.
649
00:24:36,920 --> 00:24:38,360
Once truth becomes fragmented,
650
00:24:38,360 --> 00:24:40,360
every other flow in the system gets weaker
651
00:24:40,360 --> 00:24:43,480
and your best people end up carrying context in their heads
652
00:24:43,480 --> 00:24:46,200
because the architecture can no longer carry it for them.
653
00:24:46,200 --> 00:24:47,960
But even with clear truth,
654
00:24:47,960 --> 00:24:50,040
people still need a way to move meaning together.
655
00:24:50,040 --> 00:24:54,440
Interaction model, connection over coordination.
656
00:24:54,440 --> 00:24:57,480
Now we come to a layer that many leaders still try to dismiss
657
00:24:57,480 --> 00:24:58,360
with soft language.
658
00:24:58,360 --> 00:25:02,200
They talk about communication, collaboration and culture,
659
00:25:02,200 --> 00:25:04,120
or they focus on ways of working.
660
00:25:04,120 --> 00:25:05,320
While those things are important,
661
00:25:05,320 --> 00:25:08,200
if you look closely, you'll see this isn't just about culture.
662
00:25:08,200 --> 00:25:09,640
It is an interaction model,
663
00:25:09,640 --> 00:25:13,400
and interaction models are what actually produce execution outcomes.
664
00:25:13,400 --> 00:25:16,520
Most organizations today are designed for coordination.
665
00:25:16,520 --> 00:25:18,280
They make sure tasks can be assigned
666
00:25:18,280 --> 00:25:20,040
and meetings can be scheduled,
667
00:25:20,040 --> 00:25:22,680
while ensuring messages are sent and files are shared.
668
00:25:22,680 --> 00:25:24,920
They build infrastructure so comments can be added
669
00:25:24,920 --> 00:25:26,760
and approvals can be requested.
670
00:25:26,760 --> 00:25:28,600
This coordination infrastructure matters,
671
00:25:28,600 --> 00:25:31,000
but coordination is not the same thing as connection.
672
00:25:31,000 --> 00:25:33,720
Coordination moves tasks, but connection moves meaning.
673
00:25:33,720 --> 00:25:34,920
That is the real distinction.
674
00:25:34,920 --> 00:25:36,440
A team can be highly coordinated
675
00:25:36,440 --> 00:25:39,400
and still fail repeatedly because the people inside the flow
676
00:25:39,400 --> 00:25:43,080
don't share enough context to make good decisions together.
677
00:25:43,080 --> 00:25:45,080
They might know exactly what to do next,
678
00:25:45,080 --> 00:25:46,600
but they don't know why it matters
679
00:25:46,600 --> 00:25:48,280
or what changed upstream.
680
00:25:48,280 --> 00:25:50,440
They are blind to the trade-offs that were made
681
00:25:50,440 --> 00:25:52,600
or the assumptions the last team was working with.
682
00:25:52,600 --> 00:25:55,480
The result is that every handoff becomes thinner than it should be.
683
00:25:55,480 --> 00:25:56,760
Once those handoffs get thin,
684
00:25:56,760 --> 00:25:59,080
the organization starts paying a hidden tax.
685
00:25:59,080 --> 00:26:01,160
People find themselves re-explaning things
686
00:26:01,160 --> 00:26:02,680
and opening extra meetings,
687
00:26:02,680 --> 00:26:04,280
or they ask for status updates
688
00:26:04,280 --> 00:26:06,680
that should have been unnecessary from the start.
689
00:26:06,680 --> 00:26:09,240
They begin using chat as a repair mechanism
690
00:26:09,240 --> 00:26:12,760
because the formal work surface no longer carries enough context
691
00:26:12,760 --> 00:26:13,880
to get the job done.
692
00:26:13,880 --> 00:26:15,720
That isn't the case of overcommunication.
693
00:26:15,720 --> 00:26:17,480
It is structural compensation.
694
00:26:17,480 --> 00:26:19,640
When you map that to how we work today,
695
00:26:19,640 --> 00:26:21,160
you see collaboration environments
696
00:26:21,160 --> 00:26:23,560
that are dense with activity but shallow on substance.
697
00:26:23,560 --> 00:26:25,960
We have teams, messages, channels and loop components
698
00:26:25,960 --> 00:26:28,360
along with emails, meeting notes and planet asks.
699
00:26:28,360 --> 00:26:30,360
From the outside, the system looks connected
700
00:26:30,360 --> 00:26:32,520
but often it is only transaction-rich.
701
00:26:32,520 --> 00:26:34,760
There is a lot of movement without much continuity
702
00:26:34,760 --> 00:26:38,200
because the system was designed to help people exchange units of work
703
00:26:38,200 --> 00:26:40,760
rather than preserving the meaning around that work.
704
00:26:40,760 --> 00:26:42,760
Context leaks out of the system constantly.
705
00:26:42,760 --> 00:26:44,200
A decision happens in a call,
706
00:26:44,200 --> 00:26:46,760
but the rationale stays trapped in one person's memory
707
00:26:46,760 --> 00:26:48,440
while the file is stored somewhere else
708
00:26:48,440 --> 00:26:50,840
and the action is tracked in a third location.
709
00:26:50,840 --> 00:26:53,400
When someone new joins the thread three days later,
710
00:26:53,400 --> 00:26:56,040
the whole context has to be rebuilt from scratch.
711
00:26:56,040 --> 00:26:59,080
From a system perspective, that isn't a communication failure.
712
00:26:59,080 --> 00:27:00,600
It's an architectural one.
713
00:27:00,600 --> 00:27:03,160
The interaction model simply fail to carry enough context
714
00:27:03,160 --> 00:27:05,400
across time, roles and platforms.
715
00:27:05,400 --> 00:27:07,640
This becomes even more expensive in hybrid
716
00:27:07,640 --> 00:27:09,480
and asynchronous work environments.
717
00:27:09,480 --> 00:27:11,080
When people aren't sharing the same room
718
00:27:11,080 --> 00:27:12,360
or the same informal cues,
719
00:27:12,360 --> 00:27:14,280
interaction design has to become explicit.
720
00:27:14,280 --> 00:27:16,200
You can no longer rely on hallway repair
721
00:27:16,200 --> 00:27:17,880
or proximity to fix the gaps
722
00:27:17,880 --> 00:27:19,960
and you can't assume someone will over here
723
00:27:19,960 --> 00:27:22,200
a missing piece of information to correct the flow.
724
00:27:22,200 --> 00:27:24,360
The system has to do more of that heavy lifting.
725
00:27:24,360 --> 00:27:27,160
A designed interaction model answers practical questions
726
00:27:27,160 --> 00:27:29,400
about where decisions are discussed and documented.
727
00:27:29,400 --> 00:27:31,160
It defines where rational leaves
728
00:27:31,160 --> 00:27:32,840
and where exceptions should surface
729
00:27:32,840 --> 00:27:34,680
while clarifying what belongs in chat
730
00:27:34,680 --> 00:27:36,760
and what must survive beyond it.
731
00:27:36,760 --> 00:27:38,840
These questions sound operational because they are
732
00:27:38,840 --> 00:27:40,200
and when they stay unanswered,
733
00:27:40,200 --> 00:27:42,440
organizations drift into a very common pattern
734
00:27:42,440 --> 00:27:44,600
of being highly responsive but poorly aligned.
735
00:27:44,600 --> 00:27:46,600
Everyone is available and everyone is reacting,
736
00:27:46,600 --> 00:27:48,200
yet the meaning of the work fragments
737
00:27:48,200 --> 00:27:49,640
across a dozen different channels.
738
00:27:49,640 --> 00:27:51,720
This is why some teams look collaborative
739
00:27:51,720 --> 00:27:53,400
while producing unreliable results.
740
00:27:53,400 --> 00:27:55,800
They aren't lacking effort, they are lacking connective tissue.
741
00:27:55,800 --> 00:27:57,880
When I talk about connection over coordination,
742
00:27:57,880 --> 00:28:00,200
I don't mean replacing structure with human warmth.
743
00:28:00,200 --> 00:28:02,280
I mean designing interaction so that trust
744
00:28:02,280 --> 00:28:04,760
and context can move alongside the work.
745
00:28:04,760 --> 00:28:07,480
This usually requires fewer surfaces and clearer rules
746
00:28:07,480 --> 00:28:09,800
along with a more deliberate placement of conversation.
747
00:28:09,800 --> 00:28:12,040
Not every message deserves a meeting
748
00:28:12,040 --> 00:28:14,120
and not every meeting deserves a channel.
749
00:28:14,120 --> 00:28:15,880
The point is to reduce the number of places
750
00:28:15,880 --> 00:28:17,560
where meaning can fall apart.
751
00:28:17,560 --> 00:28:19,080
Once interaction quality improves,
752
00:28:19,080 --> 00:28:21,160
execution reliability improves with it.
753
00:28:21,160 --> 00:28:24,040
You see fewer rebuilds, fewer duplicate conversations
754
00:28:24,040 --> 00:28:25,160
and much cleaner handoffs.
755
00:28:25,160 --> 00:28:28,200
The meeting load drops and context becomes more durable.
756
00:28:28,200 --> 00:28:30,120
For anyone responsible for systems,
757
00:28:30,120 --> 00:28:32,680
this is where it becomes relevant.
758
00:28:32,680 --> 00:28:34,840
Interaction quality isn't soft overhead.
759
00:28:34,840 --> 00:28:36,520
It determines whether decisions hold
760
00:28:36,520 --> 00:28:38,680
and whether teams can act without constantly repairing
761
00:28:38,680 --> 00:28:40,280
the flow by hand.
762
00:28:40,280 --> 00:28:43,000
Power alignment, the hidden operating system.
763
00:28:43,000 --> 00:28:45,640
Power is the layer most organizations feel every day
764
00:28:45,640 --> 00:28:47,640
but describe the least accurately.
765
00:28:47,640 --> 00:28:49,560
They prefer to talk about process, governance
766
00:28:49,560 --> 00:28:51,720
and accountability yet underneath those words,
767
00:28:51,720 --> 00:28:54,120
power is what actually decides what moves.
768
00:28:54,120 --> 00:28:56,280
It determines who can override a decision,
769
00:28:56,280 --> 00:28:57,720
who can delay a project,
770
00:28:57,720 --> 00:29:00,760
and who has the standing to redefine an issue entirely.
771
00:29:00,760 --> 00:29:03,320
Power is the ability to ignore the agreed route
772
00:29:03,320 --> 00:29:05,080
and still be seen as reasonable.
773
00:29:05,080 --> 00:29:07,000
It's the capacity to force an extra review
774
00:29:07,000 --> 00:29:08,360
or create a sense of urgency
775
00:29:08,360 --> 00:29:11,000
and sometimes it's the ability to make something disappear
776
00:29:11,000 --> 00:29:12,760
simply by not responding to it.
777
00:29:12,760 --> 00:29:14,760
If you want to understand the real operating model
778
00:29:14,760 --> 00:29:17,080
of an organization, don't look at the formal process map.
779
00:29:17,080 --> 00:29:19,400
Instead, look at what happens when tension appears,
780
00:29:19,400 --> 00:29:22,280
when a deadline slips or a customer escalates,
781
00:29:22,280 --> 00:29:25,480
or when an AI output conflicts with someone's intuition.
782
00:29:25,480 --> 00:29:27,480
You have to ask who wins in that moment.
783
00:29:27,480 --> 00:29:29,160
Does the documented process win,
784
00:29:29,160 --> 00:29:30,840
or does the person with enough influence
785
00:29:30,840 --> 00:29:32,280
to bend it take control?
786
00:29:32,280 --> 00:29:34,280
That answer tells you more about the organization
787
00:29:34,280 --> 00:29:36,280
than any governance deck ever will.
788
00:29:36,280 --> 00:29:37,800
Power is the hidden operating system
789
00:29:37,800 --> 00:29:39,320
that determines which flows are real
790
00:29:39,320 --> 00:29:40,600
and which ones are just decorative.
791
00:29:40,600 --> 00:29:43,000
You can have a clean approval structure on paper
792
00:29:43,000 --> 00:29:46,040
but if one senior stakeholder can bypass it with a single message
793
00:29:46,040 --> 00:29:48,520
then the real system is influence based
794
00:29:48,520 --> 00:29:49,800
rather than approval based.
795
00:29:49,800 --> 00:29:52,360
You might have role clarity in a racey matrix
796
00:29:52,360 --> 00:29:55,320
but if teams still wait for someone unofficial to bless a move
797
00:29:55,320 --> 00:29:57,880
then authority is not sitting where accountability sits.
798
00:29:57,880 --> 00:30:00,360
Authority is sitting where political safety sits
799
00:30:00,360 --> 00:30:02,520
and that misalignment is incredibly expensive.
800
00:30:02,520 --> 00:30:04,920
When power and responsibility drift apart
801
00:30:04,920 --> 00:30:06,840
shadow governance begins to expand.
802
00:30:06,840 --> 00:30:08,760
People stop asking what the right route is
803
00:30:08,760 --> 00:30:10,440
and start asking who support they need
804
00:30:10,440 --> 00:30:12,280
so the project doesn't get blocked later.
805
00:30:12,280 --> 00:30:14,600
This shift changes behavior immediately.
806
00:30:14,600 --> 00:30:17,080
Meetings get larger and emails get more careful
807
00:30:17,080 --> 00:30:18,840
while decisions are delayed until enough
808
00:30:18,840 --> 00:30:20,920
invisible alignment has happened behind the scenes.
809
00:30:20,920 --> 00:30:23,480
Ownership becomes symbolic because the person
810
00:30:23,480 --> 00:30:25,560
named as the owner isn't the real decider.
811
00:30:25,560 --> 00:30:27,720
From a system perspective this isn't just frustrating
812
00:30:27,720 --> 00:30:28,920
it is a structural defect.
813
00:30:28,920 --> 00:30:30,920
Access should map to responsibility
814
00:30:30,920 --> 00:30:33,400
and authority should map to accountability.
815
00:30:33,400 --> 00:30:35,960
Influence should not be allowed to quietly replace ownership
816
00:30:35,960 --> 00:30:37,080
without being named.
817
00:30:37,080 --> 00:30:39,800
Once hidden influence becomes stronger than formal design
818
00:30:39,800 --> 00:30:40,920
clarity collapses.
819
00:30:40,920 --> 00:30:42,920
This gets much worse in platform environments
820
00:30:42,920 --> 00:30:45,480
like Microsoft 365 or Power Platform.
821
00:30:45,480 --> 00:30:47,880
In these systems access isn't a side issue
822
00:30:47,880 --> 00:30:49,240
it is executable power.
823
00:30:49,240 --> 00:30:52,600
The system is defined by who can see data
824
00:30:52,600 --> 00:30:55,080
who can automate a flow and who has the right
825
00:30:55,080 --> 00:30:56,760
to approve or trigger an action.
826
00:30:56,760 --> 00:31:00,040
These are power questions expressed through digital permissions.
827
00:31:00,040 --> 00:31:02,520
When permissions and accountability are misaligned
828
00:31:02,520 --> 00:31:04,680
the digital environment starts reflecting
829
00:31:04,680 --> 00:31:06,440
that organizational distortion.
830
00:31:06,440 --> 00:31:07,960
The wrong people store the work
831
00:31:07,960 --> 00:31:10,200
while the right people find they cannot act.
832
00:31:10,200 --> 00:31:13,320
Sensitive decisions begin to travel through side channels
833
00:31:13,320 --> 00:31:15,800
an automation gets built by those with access
834
00:31:15,800 --> 00:31:17,400
rather than those with responsibility.
835
00:31:17,400 --> 00:31:19,560
Leaders then wonder why the environment feels fragmented
836
00:31:19,560 --> 00:31:22,040
but the reason is that the power model was fragmented first.
837
00:31:22,040 --> 00:31:25,240
This is also why AI raises the stakes so significantly.
838
00:31:25,240 --> 00:31:27,080
When power is unclear in a manual system
839
00:31:27,080 --> 00:31:29,080
the damage is usually slow and localized.
840
00:31:29,080 --> 00:31:31,640
However when AI and automation enter the picture
841
00:31:31,640 --> 00:31:33,640
scale multiplies the distortion.
842
00:31:33,640 --> 00:31:36,200
A weak approval logic becomes a scaled approval logic
843
00:31:36,200 --> 00:31:37,960
and an unclear ownership boundary
844
00:31:37,960 --> 00:31:40,760
becomes a machine assisted ambiguity generator.
845
00:31:40,760 --> 00:31:42,680
AI doesn't remove power issues.
846
00:31:42,680 --> 00:31:45,320
It just makes their cost visible much faster.
847
00:31:45,320 --> 00:31:47,960
Power alignment has to be treated as design work
848
00:31:47,960 --> 00:31:50,760
rather than an uncomfortable cultural topic we avoid.
849
00:31:50,760 --> 00:31:53,240
It is political but it is also architectural.
850
00:31:53,240 --> 00:31:55,240
We have to be clear about who has authority,
851
00:31:55,240 --> 00:31:58,040
who has access and who carries the consequence of a failure.
852
00:31:58,040 --> 00:32:00,360
If those answers are hidden performance will always be unstable
853
00:32:00,360 --> 00:32:02,760
because people will optimize for survival instead of flow.
854
00:32:02,760 --> 00:32:05,160
They will escalate early and copy everyone on emails
855
00:32:05,160 --> 00:32:07,560
or they will delay commitment and build private buffers
856
00:32:07,560 --> 00:32:08,360
to protect themselves.
857
00:32:08,360 --> 00:32:10,760
This isn't a people problem, it is a system outcome.
858
00:32:10,760 --> 00:32:14,520
The goal isn't to eliminate power which is a fantasy but to align it.
859
00:32:14,520 --> 00:32:16,840
We need to make it visible where authority really sits
860
00:32:16,840 --> 00:32:18,760
and match permissions to accountable roles.
861
00:32:18,760 --> 00:32:20,760
By removing the gap between formal ownership
862
00:32:20,760 --> 00:32:23,880
and actual control we reduce single points of failure.
863
00:32:23,880 --> 00:32:26,360
Once power alignment improves the organization
864
00:32:26,360 --> 00:32:29,160
becomes easier to trust and that trust reduces drag
865
00:32:29,160 --> 00:32:31,000
across every other part of the system.
866
00:32:31,000 --> 00:32:34,760
Now let's map that to what leaders often call transformation.
867
00:32:34,760 --> 00:32:36,840
Why most transformation programs stall?
868
00:32:36,840 --> 00:32:41,240
Now let's map those system principles to what leaders usually call transformation.
869
00:32:41,240 --> 00:32:43,640
Most of these programs stall for one simple reason.
870
00:32:43,640 --> 00:32:45,640
They try to swap out the tools without changing
871
00:32:45,640 --> 00:32:47,640
the operating logic those tools are entering.
872
00:32:47,640 --> 00:32:50,040
You can have a rollout that looks successful on a spreadsheet
873
00:32:50,040 --> 00:32:52,840
while producing almost zero change in your actual business reality.
874
00:32:52,840 --> 00:32:55,640
The platform is live and the licenses are assigned
875
00:32:55,640 --> 00:32:59,240
but the organization still feels exactly the same as it did before the investment.
876
00:32:59,240 --> 00:33:02,040
Training sessions happen and governance boards meet yet
877
00:33:02,040 --> 00:33:06,040
the needle doesn't move because deployment is being mistaken for true redesign.
878
00:33:06,040 --> 00:33:08,840
A new tool doesn't magically become a new operating model
879
00:33:08,840 --> 00:33:11,640
just because you made it available to everyone on the payroll.
880
00:33:11,640 --> 00:33:14,840
Copilot doesn't change how decisions move through your hierarchy
881
00:33:14,840 --> 00:33:18,040
and power automate won't fix a culture of unclear ownership.
882
00:33:18,040 --> 00:33:20,840
A modern internet cannot repair a fragmented truth
883
00:33:20,840 --> 00:33:22,440
just as a collaboration platform
884
00:33:22,440 --> 00:33:24,840
won't automatically create better human interaction.
885
00:33:24,840 --> 00:33:28,440
These tools simply give your existing organization a new surface
886
00:33:28,440 --> 00:33:30,040
to express the same old design,
887
00:33:30,040 --> 00:33:32,440
sometimes faster and occasionally with better branding
888
00:33:32,440 --> 00:33:34,040
but it is still the same design.
889
00:33:34,040 --> 00:33:38,040
This is why so many transformation efforts end up increasing visible activity
890
00:33:38,040 --> 00:33:40,840
while leaving the structural friction completely untouched.
891
00:33:40,840 --> 00:33:43,640
We see a few specific patterns behind this failure.
892
00:33:43,640 --> 00:33:47,240
Starting with pilot logic that lacks any real architectural follow-through.
893
00:33:47,240 --> 00:33:50,840
A small team proves a use case where reporting gets faster
894
00:33:50,840 --> 00:33:54,440
or onboarding gets smoother and suddenly everyone in leadership gets excited
895
00:33:54,440 --> 00:33:57,240
but that pilot usually sits inside a protected pocket of clarity
896
00:33:57,240 --> 00:34:00,040
that doesn't exist in the wider messier business.
897
00:34:00,040 --> 00:34:04,040
Once that solution needs to cross functions or handle shared data dependencies
898
00:34:04,040 --> 00:34:07,640
the gains collapse because the surrounding organization was never redesigned
899
00:34:07,640 --> 00:34:08,840
to absorb the change.
900
00:34:08,840 --> 00:34:11,240
The second pattern involves process mapping
901
00:34:11,240 --> 00:34:13,640
based on intended workflows instead of lived behavior
902
00:34:13,640 --> 00:34:16,040
which is a massive trap for most architects.
903
00:34:16,040 --> 00:34:18,840
Organizations love to document how work is supposed to happen
904
00:34:18,840 --> 00:34:22,040
by defining which roles have myths in which system updates the record.
905
00:34:22,040 --> 00:34:26,040
It looks clean on a slide but the real work often happens in the shadows of that diagram.
906
00:34:26,040 --> 00:34:28,440
The exceptions get handled in a quick chat,
907
00:34:28,440 --> 00:34:31,640
missing context gets rebuilt in an unscheduled meeting
908
00:34:31,640 --> 00:34:35,640
and the actual decision waits for someone who isn't even shown on the official map.
909
00:34:35,640 --> 00:34:38,440
When transformation is built around procedural fiction,
910
00:34:38,440 --> 00:34:43,640
reality eventually pushes back and leaders often mistake that friction for employee resistance.
911
00:34:43,640 --> 00:34:48,040
Usually it isn't resistance at all, it is simply the system refusing to behave like a map
912
00:34:48,040 --> 00:34:49,240
that doesn't match the terrain.
913
00:34:49,240 --> 00:34:53,240
The third pattern is about incentives and this matters more than many leaders are willing to admit
914
00:34:53,240 --> 00:34:54,440
during a board meeting.
915
00:34:54,440 --> 00:34:59,240
If your organization still rewards effort and compliance theatre over actual results
916
00:34:59,240 --> 00:35:02,840
then your transformation will naturally optimize for visible busyness.
917
00:35:02,840 --> 00:35:06,440
People will attend every training and generate every required dashboard
918
00:35:06,440 --> 00:35:08,840
yet they won't actually improve the business outcomes
919
00:35:08,840 --> 00:35:12,440
because the reward structure is attached to participation rather than performance
920
00:35:12,440 --> 00:35:16,840
the system learns to appear transformed without actually becoming more capable.
921
00:35:16,840 --> 00:35:21,240
Finally, a fourth pattern emerges where exception handling is completely ignored
922
00:35:21,240 --> 00:35:22,840
during the design phase.
923
00:35:22,840 --> 00:35:25,240
The standard happy path is designed beautifully
924
00:35:25,240 --> 00:35:27,640
but real organizations don't run on standard paths
925
00:35:27,640 --> 00:35:30,040
they run on variation and judgment calls made under pressure.
926
00:35:30,040 --> 00:35:33,240
If your transformation only accounts for the perfect scenario
927
00:35:33,240 --> 00:35:37,240
the very first missing data point will push people back into manual coordination
928
00:35:37,240 --> 00:35:38,440
and political fallbacks.
929
00:35:38,440 --> 00:35:41,640
Once that happens often enough trust in the new model disappears
930
00:35:41,640 --> 00:35:44,040
and people return to their old survival habits
931
00:35:44,040 --> 00:35:46,440
like side channels and informal approvals.
932
00:35:46,440 --> 00:35:49,240
The transformation technically exists on the IT roadmap
933
00:35:49,240 --> 00:35:52,440
but the real operating model stays exactly where it was 10 years ago.
934
00:35:52,440 --> 00:35:54,840
This is why stalled transformations
935
00:35:54,840 --> 00:35:57,240
leave a footprint of more dashboards and more meetings
936
00:35:57,240 --> 00:36:00,440
but significantly less clarity and less trust.
937
00:36:00,440 --> 00:36:03,240
From a system perspective that isn't a failure of adoption
938
00:36:03,240 --> 00:36:05,640
it is a case of misaligned redesign.
939
00:36:05,640 --> 00:36:08,040
The organization changed the layer people could see
940
00:36:08,040 --> 00:36:11,240
while leaving the underlying flow architecture mostly untouched
941
00:36:11,240 --> 00:36:13,640
if we want to understand what real transformation looks like
942
00:36:13,640 --> 00:36:15,640
we have to stop looking at launch plans
943
00:36:15,640 --> 00:36:17,240
and start looking at live behavior.
944
00:36:17,240 --> 00:36:20,040
The most useful work doesn't happen during implementation
945
00:36:20,040 --> 00:36:21,640
it happens during observation.
946
00:36:21,640 --> 00:36:24,440
From fragmented to designed before the redesign
947
00:36:24,440 --> 00:36:27,640
let's make this concrete because these concepts can sound abstract
948
00:36:27,640 --> 00:36:30,440
until you see them playing out inside a real environment.
949
00:36:30,440 --> 00:36:32,440
I'm thinking of one specific organization
950
00:36:32,440 --> 00:36:34,440
that looked incredibly mature from the outside
951
00:36:34,440 --> 00:36:37,240
they had a strong Microsoft 365 footprint,
952
00:36:37,240 --> 00:36:38,840
clear investment in governance,
953
00:36:38,840 --> 00:36:41,640
and a power platform environment that was already in active use.
954
00:36:41,640 --> 00:36:44,440
They had documented processes and security controls
955
00:36:44,440 --> 00:36:47,640
representing a serious effort from both IT and business leaders
956
00:36:47,640 --> 00:36:49,240
to create a sense of order.
957
00:36:49,240 --> 00:36:52,040
No one would have described this company as careless
958
00:36:52,040 --> 00:36:54,840
and if anything they looked more disciplined than most of their competitors.
959
00:36:54,840 --> 00:36:56,840
This wasn't a story about chaos.
960
00:36:56,840 --> 00:36:58,840
It was a story about fragmentation,
961
00:36:58,840 --> 00:37:01,240
wearing the expensive clothes of corporate maturity.
962
00:37:01,240 --> 00:37:03,240
The people inside the system were highly competent
963
00:37:03,240 --> 00:37:05,240
their platform choices were reasonable
964
00:37:05,240 --> 00:37:06,840
and their intent was genuinely good.
965
00:37:06,840 --> 00:37:08,040
Despite all of that,
966
00:37:08,040 --> 00:37:10,840
the business kept feeling slower than it should have
967
00:37:10,840 --> 00:37:13,640
and that slowness wasn't happening in one dramatic place.
968
00:37:13,640 --> 00:37:15,240
It was happening everywhere in small ways
969
00:37:15,240 --> 00:37:17,240
that added up like a decision pausing
970
00:37:17,240 --> 00:37:20,040
because a team lacked the context that was never carried forward.
971
00:37:20,040 --> 00:37:22,040
A report would circulate through the office
972
00:37:22,040 --> 00:37:23,640
then immediately lose credibility
973
00:37:23,640 --> 00:37:26,040
because the receiving group used a different source
974
00:37:26,040 --> 00:37:27,640
and a different definition.
975
00:37:27,640 --> 00:37:30,040
An automation might remove one manual step
976
00:37:30,040 --> 00:37:32,840
but the exceptions it created still had nowhere clean to go
977
00:37:32,840 --> 00:37:34,440
within the existing structure.
978
00:37:34,440 --> 00:37:36,840
Ownership looked clear inside a specific department
979
00:37:36,840 --> 00:37:38,040
yet it dissolved the moment
980
00:37:38,040 --> 00:37:40,040
where across the boundary into another territory
981
00:37:40,040 --> 00:37:42,440
the system started showing up in the language people used
982
00:37:42,440 --> 00:37:44,440
with constant complaints about too many meetings
983
00:37:44,440 --> 00:37:45,640
and repeated escalations.
984
00:37:45,640 --> 00:37:46,940
Everyone could see the friction
985
00:37:46,940 --> 00:37:48,140
but they were naming the problem
986
00:37:48,140 --> 00:37:50,940
based on the specific angle they happened to own.
987
00:37:50,940 --> 00:37:52,640
When organizations are fragmented,
988
00:37:52,640 --> 00:37:55,740
every function tends to diagnose the issue locally
989
00:37:55,740 --> 00:37:57,340
rather than looking at the whole system.
990
00:37:57,340 --> 00:37:59,340
IT says the issue is uncontrolled growth
991
00:37:59,340 --> 00:38:02,940
while operations claims the problem is a lack of process discipline.
992
00:38:02,940 --> 00:38:04,940
Business teams complain about slow support
993
00:38:04,940 --> 00:38:06,540
leaders point to a lack of accountability
994
00:38:06,540 --> 00:38:08,940
and the users just say the tools are too complex.
995
00:38:08,940 --> 00:38:10,940
All of those observations can be true
996
00:38:10,940 --> 00:38:12,540
at the same time while still missing
997
00:38:12,540 --> 00:38:14,540
the structural reality of the situation.
998
00:38:14,540 --> 00:38:17,340
In this case the dominant explanation from leadership
999
00:38:17,340 --> 00:38:20,540
was adoption assuming that if people just use the tools better
1000
00:38:20,540 --> 00:38:21,740
things would improve.
1001
00:38:21,740 --> 00:38:23,340
They believe that more consistency
1002
00:38:23,340 --> 00:38:24,940
or another automated workflow
1003
00:38:24,940 --> 00:38:27,740
would finally fix the underlying drag on performance.
1004
00:38:27,740 --> 00:38:31,340
That logic is common because it protects the basic architecture by
1005
00:38:31,340 --> 00:38:33,740
assuming the design is right and the people are the problem.
1006
00:38:33,740 --> 00:38:35,740
When you looked at the actual business reality
1007
00:38:35,740 --> 00:38:37,340
that explanation didn't hold up
1008
00:38:37,340 --> 00:38:39,340
because the environment had already been optimized
1009
00:38:39,340 --> 00:38:40,940
with more controls and more structure.
1010
00:38:40,940 --> 00:38:42,540
The gains were strangely local
1011
00:38:42,540 --> 00:38:44,940
meaning teams got better at managing their own silos
1012
00:38:44,940 --> 00:38:47,740
but the organization didn't get better at moving as a whole.
1013
00:38:47,740 --> 00:38:51,340
Local optimization had increased administrative sophistication
1014
00:38:51,340 --> 00:38:53,740
without producing any kind of integrated performance.
1015
00:38:53,740 --> 00:38:54,940
The tech stack looked mature
1016
00:38:54,940 --> 00:38:56,940
but the operating model stayed fragmented
1017
00:38:56,940 --> 00:39:00,140
and once that happens, the people inside the system begin compensating.
1018
00:39:00,140 --> 00:39:02,940
They carry context manually and remember what the process
1019
00:39:02,940 --> 00:39:06,140
forgot building side channels just to preserve some sense of momentum.
1020
00:39:06,140 --> 00:39:08,540
They join extra meetings because the formal flow
1021
00:39:08,540 --> 00:39:11,740
no longer gives them enough confidence to act without checking three times.
1022
00:39:11,740 --> 00:39:13,340
The organization keeps functioning
1023
00:39:13,340 --> 00:39:16,540
but it does so at a massive cost because the tools didn't fail.
1024
00:39:16,540 --> 00:39:17,340
The design did.
1025
00:39:17,340 --> 00:39:19,340
The people were acting as human middleware
1026
00:39:19,340 --> 00:39:22,140
between misaligned parts which is the phrase I keep coming back to
1027
00:39:22,140 --> 00:39:23,740
when I see these systems.
1028
00:39:23,740 --> 00:39:26,140
Human middleware consists of highly capable people
1029
00:39:26,140 --> 00:39:28,940
stitching together a system that looks complete on paper
1030
00:39:28,940 --> 00:39:30,940
but cannot carry authority on its own.
1031
00:39:30,940 --> 00:39:34,540
From the outside, leadership saw a mature digital workplace.
1032
00:39:34,540 --> 00:39:36,540
But from the inside, the people doing the work
1033
00:39:36,540 --> 00:39:38,140
were still bridging gaps by hand.
1034
00:39:38,140 --> 00:39:40,140
That is the before state we have to understand
1035
00:39:40,140 --> 00:39:42,140
if we want to build something better.
1036
00:39:42,140 --> 00:39:44,140
It isn't dysfunction in the obvious sense
1037
00:39:44,140 --> 00:39:47,740
it is a well-intentioned environment that has become structurally heavy
1038
00:39:47,740 --> 00:39:49,340
without becoming structurally clear.
1039
00:39:49,340 --> 00:39:50,940
Once that became visible to us,
1040
00:39:50,940 --> 00:39:52,940
the work stopped being about implementation
1041
00:39:52,940 --> 00:39:55,740
and became an observation of how the system actually lived
1042
00:39:55,740 --> 00:39:58,540
from fragmented to designed seeing reality.
1043
00:39:58,540 --> 00:40:00,140
The next step in this journey
1044
00:40:00,140 --> 00:40:01,740
wasn't about another software rollout,
1045
00:40:01,740 --> 00:40:03,340
a new set of governance documents
1046
00:40:03,340 --> 00:40:05,740
or a loud internal adoption campaign
1047
00:40:05,740 --> 00:40:08,140
instead the real work started when we decided to look at
1048
00:40:08,140 --> 00:40:09,740
what was actually happening on the ground,
1049
00:40:09,740 --> 00:40:11,740
which sounds simple until you realize
1050
00:40:11,740 --> 00:40:14,940
how many official stories organizations tell themselves
1051
00:40:14,940 --> 00:40:16,540
about how work moves.
1052
00:40:16,540 --> 00:40:18,940
In the official version, a request enters the system
1053
00:40:18,940 --> 00:40:20,940
and approval happens at a specific desk
1054
00:40:20,940 --> 00:40:23,340
and the record gets updated before the handoff is complete
1055
00:40:23,340 --> 00:40:24,540
and the workflow closes.
1056
00:40:24,540 --> 00:40:26,940
It looks clean, rational and perfectly presentable
1057
00:40:26,940 --> 00:40:28,140
on a slide deck,
1058
00:40:28,140 --> 00:40:30,540
but formal process maps usually describe
1059
00:40:30,540 --> 00:40:32,540
how leadership intends for things to work
1060
00:40:32,540 --> 00:40:34,540
rather than how they are actually executed
1061
00:40:34,540 --> 00:40:35,740
by the people doing the job.
1062
00:40:35,740 --> 00:40:38,540
So instead of asking how the process was supposed to function,
1063
00:40:38,540 --> 00:40:40,540
we started asking a much more direct question,
1064
00:40:40,540 --> 00:40:42,540
what actually happens from the moment work
1065
00:40:42,540 --> 00:40:45,340
enters the system to the moment something real gets done?
1066
00:40:45,340 --> 00:40:48,140
That shift in perspective changed everything
1067
00:40:48,140 --> 00:40:50,540
because once we started tracing actual human behavior,
1068
00:40:50,540 --> 00:40:52,140
the hidden architecture of the organization
1069
00:40:52,140 --> 00:40:54,140
became visible almost immediately.
1070
00:40:54,140 --> 00:40:56,540
We discovered that decisions were not really waiting
1071
00:40:56,540 --> 00:40:58,140
where the documentation said they were
1072
00:40:58,140 --> 00:40:59,740
but were instead stuck in places
1073
00:40:59,740 --> 00:41:02,140
where context had to be rebuilt from scratch.
1074
00:41:02,140 --> 00:41:04,940
A team would receive a request without enough rationale
1075
00:41:04,940 --> 00:41:07,740
so they would pause, ask clarifying questions,
1076
00:41:07,740 --> 00:41:10,140
schedule a call and recreate the missing history
1077
00:41:10,140 --> 00:41:12,140
before they could finally decide.
1078
00:41:12,140 --> 00:41:14,940
On paper, this looked like a short and simple approval step,
1079
00:41:14,940 --> 00:41:17,740
but in reality, it was a massive context recovery loop
1080
00:41:17,740 --> 00:41:20,140
that drained time and energy from everyone involved.
1081
00:41:20,140 --> 00:41:22,540
That distinction matters because the delay wasn't caused
1082
00:41:22,540 --> 00:41:24,540
by a lack of will or a slow employee
1083
00:41:24,540 --> 00:41:27,340
but was a direct result of the flow design itself.
1084
00:41:27,340 --> 00:41:29,340
We saw the same pattern in the data
1085
00:41:29,340 --> 00:41:32,140
where reports looked stable until they crossed team boundaries
1086
00:41:32,140 --> 00:41:35,740
and people started checking the numbers against their own local extracts.
1087
00:41:35,740 --> 00:41:38,700
Different teams were using different versions of the same business objects
1088
00:41:38,700 --> 00:41:40,300
not because they wanted fragmentation
1089
00:41:40,300 --> 00:41:43,740
but because the system gave them no single operational path
1090
00:41:43,740 --> 00:41:45,740
they could actually trust under pressure.
1091
00:41:45,740 --> 00:41:47,740
To survive, they built compensations
1092
00:41:47,740 --> 00:41:50,940
like manual exports, private trackers and reference files
1093
00:41:50,940 --> 00:41:53,740
which meant that what looked like wasteful duplication
1094
00:41:53,740 --> 00:41:56,140
was actually a necessary trust workaround.
1095
00:41:56,140 --> 00:41:57,740
Then we found the hand of dead zones,
1096
00:41:57,740 --> 00:41:59,740
those places where work was technically transferred
1097
00:41:59,740 --> 00:42:03,740
but structurally abandoned because no one person clearly owned the next move.
1098
00:42:03,740 --> 00:42:05,740
Everyone was included in the email chain
1099
00:42:05,740 --> 00:42:07,340
but no one was truly accountable
1100
00:42:07,340 --> 00:42:09,340
so the item sat in a procedural fog
1101
00:42:09,340 --> 00:42:12,940
until someone with enough seniority or memory eventually pushed it forward.
1102
00:42:12,940 --> 00:42:15,340
From the outside, this looked like slow execution
1103
00:42:15,340 --> 00:42:17,340
but from the inside, it was an ownership vacuum
1104
00:42:17,340 --> 00:42:20,540
that forced people to work harder just to keep things moving.
1105
00:42:20,540 --> 00:42:23,740
We also found the same approval logic appearing multiple times
1106
00:42:23,740 --> 00:42:26,540
across a single flow where different people were asked to validate
1107
00:42:26,540 --> 00:42:28,940
slightly different versions of the same thing.
1108
00:42:28,940 --> 00:42:31,340
This didn't happen because each review added new judgment
1109
00:42:31,340 --> 00:42:33,740
but because nobody had enough confidence in the upstream decision
1110
00:42:33,740 --> 00:42:36,940
to let the work travel cleanly without checking it again.
1111
00:42:36,940 --> 00:42:39,340
Approval had become a form of structural reassurance
1112
00:42:39,340 --> 00:42:41,340
and reassurance is incredibly expensive
1113
00:42:41,340 --> 00:42:44,140
especially when the organization pretends it is a form of control
1114
00:42:44,140 --> 00:42:46,540
what made this phase of the project important
1115
00:42:46,540 --> 00:42:48,540
was the total removal of blame
1116
00:42:48,540 --> 00:42:50,940
which was critical because if you look for underperformance
1117
00:42:50,940 --> 00:42:54,540
at the individual level, you will miss the systemic pattern every time.
1118
00:42:54,540 --> 00:42:56,940
The people inside the system were not the problem
1119
00:42:56,940 --> 00:43:00,140
in many cases they were the only reason the system still functioned at all.
1120
00:43:00,140 --> 00:43:02,940
They were remembering the context the tools failed to preserve
1121
00:43:02,940 --> 00:43:05,340
translating between teams with different definitions
1122
00:43:05,340 --> 00:43:08,140
and spotting exceptions before the workflows could break.
1123
00:43:08,140 --> 00:43:10,540
They were using meetings, chats and personal relationships
1124
00:43:10,540 --> 00:43:12,540
as a form of structural compensation
1125
00:43:12,540 --> 00:43:15,340
which isn't inefficiency in the human sense
1126
00:43:15,340 --> 00:43:17,740
but rather a form of resilience at the human layer
1127
00:43:17,740 --> 00:43:19,740
because the design layer is incomplete.
1128
00:43:19,740 --> 00:43:22,540
This matters for leaders because once you see reality clearly
1129
00:43:22,540 --> 00:43:26,140
the narrative changes from why are people creating workarounds
1130
00:43:26,140 --> 00:43:30,940
to what kind of design makes those workarounds necessary for basic continuity.
1131
00:43:30,940 --> 00:43:33,340
Once that question is visible
1132
00:43:33,340 --> 00:43:35,740
redesign stops being a theoretical exercise
1133
00:43:35,740 --> 00:43:37,940
and you can finally point to the exact spots
1134
00:43:37,940 --> 00:43:42,140
where context collapses, trust breaks, and ownership disappears.
1135
00:43:42,140 --> 00:43:44,940
You see where power quietly overrides the process
1136
00:43:44,940 --> 00:43:48,540
and where the people inside the system are keeping the whole thing alive by hand.
1137
00:43:48,540 --> 00:43:49,740
That was the turning point
1138
00:43:49,740 --> 00:43:51,340
because once reality became visible
1139
00:43:51,340 --> 00:43:53,340
nobody needed another maturity story
1140
00:43:53,340 --> 00:43:56,540
they needed a redesign story that moved from describing symptoms
1141
00:43:56,540 --> 00:43:58,540
to changing the structure.
1142
00:43:58,540 --> 00:44:00,940
From fragmented to designed, what changed?
1143
00:44:00,940 --> 00:44:02,940
Once the reality of the system was visible
1144
00:44:02,940 --> 00:44:06,540
the work didn't actually get bigger but it did become much sharper.
1145
00:44:06,540 --> 00:44:07,740
This is an important distinction
1146
00:44:07,740 --> 00:44:09,940
because many organizations respond to these moments
1147
00:44:09,940 --> 00:44:12,540
by launching a massive transformation machine
1148
00:44:12,540 --> 00:44:14,940
full of work streams, steering groups
1149
00:44:14,940 --> 00:44:16,940
and complex change roadmaps.
1150
00:44:16,940 --> 00:44:19,740
In our case the useful move was the exact opposite
1151
00:44:19,740 --> 00:44:22,140
focusing on reducing the number of moving parts
1152
00:44:22,140 --> 00:44:26,540
and tightening the architecture to make the real path easier to see and carry.
1153
00:44:26,540 --> 00:44:28,940
The first major change was in the decision parts
1154
00:44:28,940 --> 00:44:32,140
where we stopped treating every decision as if it had the same weight and impact.
1155
00:44:32,140 --> 00:44:36,940
We separated decisions by type, moving reversible choices closer to the actual work
1156
00:44:36,940 --> 00:44:38,940
with clearer owners and fewer approval points.
1157
00:44:38,940 --> 00:44:42,140
A reversible or high impact decisions kept more friction
1158
00:44:42,140 --> 00:44:43,740
but it became a deliberate form of friction
1159
00:44:43,740 --> 00:44:45,340
designed to test assumptions
1160
00:44:45,340 --> 00:44:48,140
rather than a habit inherited from old processes.
1161
00:44:48,140 --> 00:44:50,540
This alone reduced the surprising amount of drag
1162
00:44:50,540 --> 00:44:53,740
because people no longer had to guess whether they were allowed to move.
1163
00:44:53,740 --> 00:44:55,340
They knew exactly where they stood
1164
00:44:55,340 --> 00:44:58,540
and where to escalate if they couldn't move alone.
1165
00:44:58,540 --> 00:45:00,540
The second shift focused on data ownership
1166
00:45:00,540 --> 00:45:02,540
where instead of trying to solve trust issues
1167
00:45:02,540 --> 00:45:05,340
with more reporting, the organization started aligning ownership
1168
00:45:05,340 --> 00:45:07,340
around core business objects.
1169
00:45:07,340 --> 00:45:10,540
This changed the conversation from who built this report
1170
00:45:10,540 --> 00:45:12,140
to who owns the meaning of this number
1171
00:45:12,140 --> 00:45:14,540
and which source is the operational truth.
1172
00:45:14,540 --> 00:45:17,340
Once those answers were clear the duplication started falling away
1173
00:45:17,340 --> 00:45:18,540
not because we banned spreadsheets
1174
00:45:18,540 --> 00:45:22,940
but because fewer people needed private reconciliations just to feel safe enough to act.
1175
00:45:22,940 --> 00:45:26,140
That is the fundamental difference between control and design.
1176
00:45:26,140 --> 00:45:27,740
One punishes the work around
1177
00:45:27,740 --> 00:45:31,340
while the other removes the reason for the work around to exist in the first place.
1178
00:45:31,340 --> 00:45:32,940
Then we looked at the interaction layer
1179
00:45:32,940 --> 00:45:35,340
which wasn't about telling people to communicate better
1180
00:45:35,340 --> 00:45:38,140
but about being explicit about where context actually belongs.
1181
00:45:38,140 --> 00:45:41,340
We defined what gets decided in meetings versus what stays in chat
1182
00:45:41,340 --> 00:45:43,740
and we ensured that rationale lived in a place
1183
00:45:43,740 --> 00:45:45,740
where someone entering the project late
1184
00:45:45,740 --> 00:45:48,940
could recover the state of the work without reopening the whole discussion.
1185
00:45:48,940 --> 00:45:52,140
This redesign sounds small until you see the effect
1186
00:45:52,140 --> 00:45:54,940
because once context starts traveling with the work
1187
00:45:54,940 --> 00:45:57,340
the coordination load on the team drops almost immediately.
1188
00:45:57,340 --> 00:46:00,140
There are fewer repair meetings, fewer duplicated explanations
1189
00:46:00,140 --> 00:46:04,940
and fewer moments where progress depends entirely on the memory of the most informed person in the room.
1190
00:46:04,940 --> 00:46:07,340
We then connected this to permissions and access
1191
00:46:07,340 --> 00:46:10,940
treating it as an operating model decision rather than just a simple admin task.
1192
00:46:10,940 --> 00:46:13,340
We mapped access directly to accountable roles
1193
00:46:13,340 --> 00:46:16,540
asking who should be able to trigger a flow, who should approve
1194
00:46:16,540 --> 00:46:20,140
and who should see sensitive context based on their actual responsibility.
1195
00:46:20,140 --> 00:46:22,940
This mattered because once access reflects responsibility,
1196
00:46:22,940 --> 00:46:24,940
the platform becomes structurally cleaner
1197
00:46:24,940 --> 00:46:29,740
and people stop improvising around blocked paths or overpowered roles that shouldn't exist.
1198
00:46:29,740 --> 00:46:32,540
We also removed a lot of overlapping procedural language,
1199
00:46:32,540 --> 00:46:34,940
cutting out parallel routes and duplicate controls
1200
00:46:34,940 --> 00:46:37,340
that were only there to compensate for a lack of trust.
1201
00:46:37,340 --> 00:46:39,740
This made the operating model easier to read
1202
00:46:39,740 --> 00:46:42,940
and readability is vital because if people cannot understand the path
1203
00:46:42,940 --> 00:46:45,340
they cannot execute it with any level of confidence.
1204
00:46:45,340 --> 00:46:47,340
The redesign didn't add sophistication,
1205
00:46:47,340 --> 00:46:50,140
it removed ambiguity which is why the result felt different
1206
00:46:50,140 --> 00:46:53,740
very quickly without being more digital or more governed.
1207
00:46:53,740 --> 00:46:56,940
It was simply more coherent, allowing the existing tools
1208
00:46:56,940 --> 00:47:00,940
like Microsoft 365 and the Power Platform to support a cleaner flow
1209
00:47:00,940 --> 00:47:03,340
instead of competing with one another for attention.
1210
00:47:03,340 --> 00:47:06,740
From a system perspective, that is the only change that matters.
1211
00:47:06,740 --> 00:47:09,340
Finding a better fit between the flow of decisions,
1212
00:47:09,340 --> 00:47:12,140
the flow of data and the rules of interaction.
1213
00:47:12,140 --> 00:47:16,540
Once that fit improved, the people inside the system no longer had to keep the whole thing alive
1214
00:47:16,540 --> 00:47:18,540
through constant structural compensation.
1215
00:47:18,540 --> 00:47:21,340
That is the moment when the outcomes finally started to change
1216
00:47:21,340 --> 00:47:23,740
because the system was finally designed to sustain the work
1217
00:47:23,740 --> 00:47:25,740
rather than drain the people doing it.
1218
00:47:25,740 --> 00:47:28,140
So, from fragmented to design, what improved?
1219
00:47:28,140 --> 00:47:29,740
So, what actually got better?
1220
00:47:29,740 --> 00:47:31,740
It wasn't a magical overnight transformation
1221
00:47:31,740 --> 00:47:34,140
and it certainly didn't happen because the leadership team
1222
00:47:34,140 --> 00:47:36,540
stumbled upon some perfect management framework.
1223
00:47:36,540 --> 00:47:38,140
The real shift was much more fundamental.
1224
00:47:38,140 --> 00:47:40,940
What improved was the direct relationship between effort and outcome,
1225
00:47:40,940 --> 00:47:44,940
which is always the first sign that the system is finally being designed correctly.
1226
00:47:44,940 --> 00:47:48,140
Before we started the redesign, people were working themselves to the bone
1227
00:47:48,140 --> 00:47:50,140
just to keep things moving at all.
1228
00:47:50,140 --> 00:47:52,940
After the changes took hold, that same level of energy
1229
00:47:52,940 --> 00:47:54,940
started producing much cleaner progress.
1230
00:47:54,940 --> 00:47:56,940
Instead of wasting hours on constant translation,
1231
00:47:56,940 --> 00:47:59,740
endless reassurance and fixing broken handoffs,
1232
00:47:59,740 --> 00:48:02,940
the team could finally focus on actually moving the business forward.
1233
00:48:02,940 --> 00:48:04,940
The first thing to speed up was decision making.
1234
00:48:04,940 --> 00:48:07,740
This didn't happen because everyone suddenly became more courageous.
1235
00:48:07,740 --> 00:48:11,740
It happened because the system stopped treating every single choice like a high-stakes crisis.
1236
00:48:11,740 --> 00:48:14,940
Teams started acting within much clearer boundaries.
1237
00:48:14,940 --> 00:48:16,940
Escalation points became obvious
1238
00:48:16,940 --> 00:48:21,340
and fewer decisions sat rotting in hidden cues while waiting for an unofficial blessing.
1239
00:48:21,340 --> 00:48:24,540
When that latency drops, the entire rhythm of the company changes.
1240
00:48:24,540 --> 00:48:27,740
And when latency drops, something else usually follows.
1241
00:48:27,740 --> 00:48:29,740
Escalation volume starts to plummet.
1242
00:48:29,740 --> 00:48:32,940
That might sound like a minor detail, but it's a massive structural win.
1243
00:48:32,940 --> 00:48:36,140
Constant escalation is almost always a symptom of a deeper problem,
1244
00:48:36,140 --> 00:48:40,540
signaling that local authority is weak or that people simply don't trust the path they're on.
1245
00:48:40,540 --> 00:48:44,540
Once the flow of decisions became clear, fewer issues had to be kicked upstairs
1246
00:48:44,540 --> 00:48:46,140
just to gain a sense of legitimacy.
1247
00:48:46,140 --> 00:48:48,540
Ownership also became something people could actually use.
1248
00:48:48,540 --> 00:48:52,140
I'm not talking about ownership as a slogan or a line in a job description.
1249
00:48:52,140 --> 00:48:53,340
I mean, usable ownership.
1250
00:48:53,340 --> 00:48:56,140
Most organizations already have plenty of racey models
1251
00:48:56,140 --> 00:48:58,140
and governance charters gathering digital dust,
1252
00:48:58,140 --> 00:49:01,740
but usable ownership means every person knows exactly who decides,
1253
00:49:01,740 --> 00:49:04,940
who contributes and who deals with the consequences when things change.
1254
00:49:04,940 --> 00:49:07,740
That clarity lowers the coordination load immediately.
1255
00:49:07,740 --> 00:49:10,540
We saw fewer check-ins just to confirm who was responsible,
1256
00:49:10,540 --> 00:49:13,740
fewer reply-all messages sent as professional protection,
1257
00:49:13,740 --> 00:49:16,540
and far fewer situations where everyone was involved,
1258
00:49:16,540 --> 00:49:18,140
but nobody was truly accountable.
1259
00:49:18,140 --> 00:49:19,540
Then we saw the data effect.
1260
00:49:19,540 --> 00:49:23,340
Once the core business objects had clear owners and fewer conflicting parts,
1261
00:49:23,340 --> 00:49:26,140
the quality of reporting improved in a very practical way.
1262
00:49:26,140 --> 00:49:28,540
It wasn't that every metric suddenly became perfect,
1263
00:49:28,540 --> 00:49:32,540
but teams finally stopped arguing about which version of reality was the right one.
1264
00:49:32,540 --> 00:49:35,340
Reconciliation efforts dropped reporting disputes vanished
1265
00:49:35,340 --> 00:49:38,540
and downstream action improved because trust arrived much faster than before.
1266
00:49:38,540 --> 00:49:42,540
This is easily one of the most overlooked gains in any redesign project.
1267
00:49:42,540 --> 00:49:45,340
Better data trust isn't just a win for the analytics team.
1268
00:49:45,340 --> 00:49:47,740
It completely changes your operational confidence.
1269
00:49:47,740 --> 00:49:52,140
People move significantly faster when they no longer have to renegotiate the basic facts
1270
00:49:52,140 --> 00:49:53,740
before they can even start responding to them.
1271
00:49:53,740 --> 00:49:55,740
The way people interacted also got a lot lighter.
1272
00:49:55,740 --> 00:49:57,340
I don't mean softer or more polite.
1273
00:49:57,340 --> 00:50:00,140
I mean, the actual weight of collaboration decreased.
1274
00:50:00,140 --> 00:50:04,540
We had fewer repair meetings because the context of a project was actually surviving the handoff
1275
00:50:04,540 --> 00:50:06,140
from one person to the next.
1276
00:50:06,140 --> 00:50:08,940
Someone entering a decision late could catch up on the logic
1277
00:50:08,940 --> 00:50:12,540
without forcing everyone to restart the entire conversation from scratch.
1278
00:50:12,540 --> 00:50:15,740
Chad stopped being a place where people went to recover lost information
1279
00:50:15,740 --> 00:50:18,140
and became a useful support surface instead.
1280
00:50:18,140 --> 00:50:20,540
Documentation finally started carrying the continuity
1281
00:50:20,540 --> 00:50:23,740
that used to live exclusively inside the heads of a few reliable veterans.
1282
00:50:23,740 --> 00:50:26,140
That shift reduced a massive amount of dependency risk,
1283
00:50:26,140 --> 00:50:27,740
and why does that matter so much?
1284
00:50:27,740 --> 00:50:30,540
Because concentrated memories are a single point of failure.
1285
00:50:30,540 --> 00:50:34,540
If your execution depends on the same three informal translators or context holders
1286
00:50:34,540 --> 00:50:38,140
every time we're crosses a department line, your organization isn't resilient.
1287
00:50:38,140 --> 00:50:41,340
It's just being held together by a few overloaded humans.
1288
00:50:41,340 --> 00:50:44,140
Better interaction design creates redundancy.
1289
00:50:44,140 --> 00:50:48,140
And redundancy is exactly what gives the system its structural resilience.
1290
00:50:48,140 --> 00:50:49,740
Now map all of that to AI.
1291
00:50:49,740 --> 00:50:52,940
This is where the improvement became strategically visible for the board.
1292
00:50:52,940 --> 00:50:55,740
AI outcomes improved not because we bought better models
1293
00:50:55,740 --> 00:51:00,140
because the organization underneath finally stopped fighting the automation.
1294
00:51:00,140 --> 00:51:02,140
The outputs had clear roots into action.
1295
00:51:02,140 --> 00:51:04,140
Permissions were aligned with real roles
1296
00:51:04,140 --> 00:51:06,540
and the trust in source data was finally there.
1297
00:51:06,540 --> 00:51:09,340
Human judgments stayed in the loop where it actually mattered
1298
00:51:09,340 --> 00:51:12,140
rather than being used to manually fix data errors.
1299
00:51:12,140 --> 00:51:14,140
AI stopped behaving like a chaos multiplier
1300
00:51:14,140 --> 00:51:16,140
and started acting like a genuine accelerator
1301
00:51:16,140 --> 00:51:18,940
that is a very different role for technology to play
1302
00:51:18,940 --> 00:51:20,940
and is the biggest lesson from this entire case.
1303
00:51:20,940 --> 00:51:24,140
They didn't get better results by stacking more tools on top of a mess.
1304
00:51:24,140 --> 00:51:27,740
They got better results by redesigning how the work actually moved through the pipes.
1305
00:51:27,740 --> 00:51:30,540
This is the part I think leaders really need to sit with for a moment.
1306
00:51:30,540 --> 00:51:34,940
Most organizations are still trying to buy performance through isolated, shiny improvements.
1307
00:51:34,940 --> 00:51:38,540
Another dashboard, another automation, or another governance layer.
1308
00:51:38,540 --> 00:51:42,140
But in a complex environment, performance doesn't come from what you stack on top.
1309
00:51:42,140 --> 00:51:44,940
It comes from how you design the flow underneath.
1310
00:51:44,940 --> 00:51:47,740
Once that flow is clean, speed improves naturally.
1311
00:51:47,740 --> 00:51:49,740
Clarity and trust follow right behind it.
1312
00:51:49,740 --> 00:51:53,740
Only then does your technology finally have something stable enough to actually accelerate.
1313
00:51:53,740 --> 00:51:57,340
To make this useful for you, we need to turn this story into a practical model
1314
00:51:57,340 --> 00:51:58,940
you can apply to your own system.
1315
00:51:58,940 --> 00:52:00,540
Step one, see reality.
1316
00:52:00,540 --> 00:52:02,940
If you want to apply this to your own organization,
1317
00:52:02,940 --> 00:52:04,940
the first step isn't actually redesign.
1318
00:52:04,940 --> 00:52:06,540
It's its reality.
1319
00:52:06,540 --> 00:52:10,540
I start there because most redesign work is doomed before it even begins.
1320
00:52:10,540 --> 00:52:12,940
It fails because it starts from a place of aspiration
1321
00:52:12,940 --> 00:52:14,940
rather than honest observation.
1322
00:52:14,940 --> 00:52:16,940
Leaders will describe the intended process.
1323
00:52:16,940 --> 00:52:18,940
Teams will point to the approved workflow
1324
00:52:18,940 --> 00:52:21,740
and platform owners will show you the configured environment.
1325
00:52:21,740 --> 00:52:24,940
All of those descriptions can be technically true on paper
1326
00:52:24,940 --> 00:52:28,140
while having absolutely nothing to do with how work actually moves.
1327
00:52:28,140 --> 00:52:32,140
The first discipline of a systems thinker is to stop asking what the process should be
1328
00:52:32,140 --> 00:52:34,940
and start asking what the organization is actually running right now.
1329
00:52:34,940 --> 00:52:36,940
That means you have to follow the work itself.
1330
00:52:36,940 --> 00:52:40,940
Don't look at the slide deck, the policy manual, or the architecture diagram.
1331
00:52:40,940 --> 00:52:42,140
Just look at the work.
1332
00:52:42,140 --> 00:52:45,740
Pick one high friction flow that has a visible impact on the business.
1333
00:52:45,740 --> 00:52:50,140
Maybe it's a customer escalation, a budget approval, or a cross-functional change request.
1334
00:52:50,140 --> 00:52:53,340
It needs to be something painful enough that people feel it every day
1335
00:52:53,340 --> 00:52:56,540
and important enough that leadership can't just dismiss it as noise.
1336
00:52:56,540 --> 00:52:58,140
Then you trace it from end to end.
1337
00:52:58,140 --> 00:53:00,140
Where does the work actually begin?
1338
00:53:00,140 --> 00:53:02,140
And who is the first person to touch it?
1339
00:53:02,140 --> 00:53:06,140
You need to see what information arrives with that task and what gets lost along the way.
1340
00:53:06,140 --> 00:53:10,140
Find out where the work pauses and where someone has to rebuild the context
1341
00:53:10,140 --> 00:53:12,140
from their own memory or a private chat thread.
1342
00:53:12,140 --> 00:53:14,940
You are looking for the exact spot where the formal route ends
1343
00:53:14,940 --> 00:53:16,940
and the unofficial shadow route begins.
1344
00:53:16,940 --> 00:53:18,940
This level of observation is mandatory
1345
00:53:18,940 --> 00:53:23,340
because system truth lives in the gap between the documented path and the lived path.
1346
00:53:23,340 --> 00:53:24,940
And here is a critical rule.
1347
00:53:24,940 --> 00:53:26,540
Do this without an ounce of blame.
1348
00:53:26,540 --> 00:53:30,140
If you find people relying on side channels, messy spreadsheets,
1349
00:53:30,140 --> 00:53:33,340
or undocumented workarounds, do not treat that as a personal failure,
1350
00:53:33,340 --> 00:53:34,540
treat it as evidence.
1351
00:53:34,540 --> 00:53:39,340
Those workarounds are telling you that the formal system wasn't strong enough to carry the work to the finished line.
1352
00:53:39,340 --> 00:53:40,540
The workaround isn't the problem.
1353
00:53:40,540 --> 00:53:43,340
It's a signal and a predictable system outcome.
1354
00:53:43,340 --> 00:53:45,740
As you look, a few things will become visible very quickly.
1355
00:53:45,740 --> 00:53:48,140
You'll see the real decision paths, not who's on the chart,
1356
00:53:48,140 --> 00:53:50,140
but who the work is actually waiting for.
1357
00:53:50,140 --> 00:53:52,140
You'll see the real collaboration routes,
1358
00:53:52,140 --> 00:53:54,540
which usually happen wherever the time pressure is highest.
1359
00:53:54,540 --> 00:53:58,940
You'll discover the real data dependencies by seeing which numbers people actually trust
1360
00:53:58,940 --> 00:54:00,140
enough to put their names on.
1361
00:54:00,140 --> 00:54:02,540
This is also where you see how exceptions are handled.
1362
00:54:02,540 --> 00:54:05,740
Most flows look fine until something unusual happens,
1363
00:54:05,740 --> 00:54:08,940
like missing information or conflicting sense of ownership.
1364
00:54:08,940 --> 00:54:12,140
That is where the real design of your company reveals itself.
1365
00:54:12,140 --> 00:54:14,540
I would map this out in the planist terms possible.
1366
00:54:14,540 --> 00:54:17,740
Ask yourself where the item stopped and why it had to stop.
1367
00:54:17,740 --> 00:54:20,940
Identify who had to get involved, who wasn't part of the formal plan.
1368
00:54:20,940 --> 00:54:23,740
Figure out which system held the context and which one dropped it.
1369
00:54:23,740 --> 00:54:28,540
Most importantly, look for where people switched from following a process to relying on personal trust.
1370
00:54:28,540 --> 00:54:32,940
When a flow depends on specific people to translate or manually reconnect the pieces,
1371
00:54:32,940 --> 00:54:35,340
you aren't looking at a stable operating model.
1372
00:54:35,340 --> 00:54:38,940
You are looking at human compensation for a broken architecture.
1373
00:54:38,940 --> 00:54:43,740
This is why observation is a thousand times more valuable than broad documentation at this stage.
1374
00:54:43,740 --> 00:54:46,940
You aren't trying to create a massive inventory of every process in the company.
1375
00:54:46,940 --> 00:54:50,140
You are trying to establish enough operational truth to say,
1376
00:54:50,140 --> 00:54:52,940
"This is how work really moves, this is where the friction lives,
1377
00:54:52,940 --> 00:54:55,340
and this is where our design and our reality diverge."
1378
00:54:55,340 --> 00:54:58,140
Once you can see that, the entire conversation changes.
1379
00:54:58,140 --> 00:55:00,140
You stop arguing about adoption in the abstract
1380
00:55:00,140 --> 00:55:03,340
and you stop assuming that another software rollout will fix the underlying rod.
1381
00:55:03,340 --> 00:55:08,540
You stop coaching people to perform better inside a structure that was literally designed to make them fail.
1382
00:55:08,540 --> 00:55:10,140
Now you have a visible pattern.
1383
00:55:10,140 --> 00:55:13,340
Friction stops being emotional language and starts being structural evidence.
1384
00:55:13,340 --> 00:55:16,540
That is the move you have to make, because if you cannot see the real path,
1385
00:55:16,540 --> 00:55:18,540
you cannot redesign the real system.
1386
00:55:18,540 --> 00:55:20,540
You will only ever optimize the official story
1387
00:55:20,540 --> 00:55:23,740
and official stories are usually where performance goes to hide.
1388
00:55:23,740 --> 00:55:25,740
Step 2, identify friction.
1389
00:55:25,740 --> 00:55:28,140
Once you've made the reality of your workflow visible,
1390
00:55:28,140 --> 00:55:30,140
the next step is to identify friction.
1391
00:55:30,140 --> 00:55:32,140
But we have to do this the right way.
1392
00:55:32,140 --> 00:55:35,740
I'm not talking about friction as a general mood or a vague complaint
1393
00:55:35,740 --> 00:55:37,740
that people are tired and overwhelmed.
1394
00:55:37,740 --> 00:55:41,740
While those feelings are usually true, they are symptoms of a deeper structural issue
1395
00:55:41,740 --> 00:55:43,340
rather than the root cause itself.
1396
00:55:43,340 --> 00:55:47,340
From a system's design perspective, friction is much more precise than a bad vibe.
1397
00:55:47,340 --> 00:55:50,540
It is the measurable resistance inside a flow that slows down movement,
1398
00:55:50,540 --> 00:55:52,940
increases the effort required for simple tasks
1399
00:55:52,940 --> 00:55:56,540
and forces people to manually compensate just to keep the wheels turning.
1400
00:55:56,540 --> 00:56:00,140
This level of precision matters because if you mislabel every problem
1401
00:56:00,140 --> 00:56:02,540
as resistance to change or skill gaps,
1402
00:56:02,540 --> 00:56:06,540
you end up coaching your people to work around fundamental design flaws.
1403
00:56:06,540 --> 00:56:09,340
That is one of the most expensive mistakes I see leaders make
1404
00:56:09,340 --> 00:56:12,140
and it's a massive drain on organizational energy.
1405
00:56:12,140 --> 00:56:16,140
So what does this friction actually look like when you're standing inside an organization?
1406
00:56:16,140 --> 00:56:19,740
It usually shows up in a few repeatable patterns that are easy to spot
1407
00:56:19,740 --> 00:56:20,940
once you know what to look for.
1408
00:56:20,940 --> 00:56:24,940
You'll see delays where works it's untouched, duplicate efforts across different teams
1409
00:56:24,940 --> 00:56:27,340
and constant waiting states that kill momentum.
1410
00:56:27,340 --> 00:56:30,140
You might notice people constantly reconstructing context
1411
00:56:30,140 --> 00:56:31,740
or performing repeated validations
1412
00:56:31,740 --> 00:56:33,740
because nobody trusts the data they were handed.
1413
00:56:33,740 --> 00:56:35,740
These are the footprints of a broken system.
1414
00:56:35,740 --> 00:56:38,940
A request enters the queue and then waits two days before anyone even looks at it
1415
00:56:38,940 --> 00:56:41,740
or a report gets rebuilt three times by three different teams.
1416
00:56:41,740 --> 00:56:45,740
Using slightly different definitions, you might see meetings that exist solely
1417
00:56:45,740 --> 00:56:49,740
to restore a shared understanding that should have traveled with the work in the first place.
1418
00:56:49,740 --> 00:56:53,740
Sometimes an extra approval is added simply because one group doesn't trust the
1419
00:56:53,740 --> 00:56:57,740
previous group's judgment and that is a clear signal of structural friction.
1420
00:56:57,740 --> 00:56:59,740
Now I want to be clear, not all friction is bad.
1421
00:56:59,740 --> 00:57:01,740
That distinction is vital for building a resilient system
1422
00:57:01,740 --> 00:57:04,940
because some resistance actually serves a purpose.
1423
00:57:04,940 --> 00:57:08,940
If a decision is hard to reverse or carries a high level of material risk,
1424
00:57:08,940 --> 00:57:12,540
you actually want a bit of resistance there to prevent a single point of failure.
1425
00:57:12,540 --> 00:57:16,940
This is where the concept of "minimum viable" friction becomes a tool for quality.
1426
00:57:16,940 --> 00:57:20,940
A short assumption check or a visible judgment statement can improve the final outcome
1427
00:57:20,940 --> 00:57:22,940
without completely collapsing your momentum.
1428
00:57:22,940 --> 00:57:26,140
But destructive friction is a different animal entirely.
1429
00:57:26,140 --> 00:57:30,540
It adds significant cost to the process without adding any real confidence to the result.
1430
00:57:30,540 --> 00:57:33,740
It slows down routine work, multiplies unnecessary handoffs
1431
00:57:33,740 --> 00:57:37,340
and encourages political safety behaviors where people ask for more meetings
1432
00:57:37,340 --> 00:57:38,540
just to cover their tracks.
1433
00:57:38,540 --> 00:57:42,140
The structure gets weaker, so people compensate by adding more eyes and more layers
1434
00:57:42,140 --> 00:57:44,540
which only makes the system more fragile over time.
1435
00:57:44,540 --> 00:57:48,540
Your job as a leader is to separate the useful friction from the destructive drag.
1436
00:57:48,540 --> 00:57:51,340
The easiest way to do that is to ask one simple question.
1437
00:57:51,340 --> 00:57:53,740
What is this specific step protecting us from?
1438
00:57:53,740 --> 00:57:56,540
If the answer is clear, specific and proportionate to the risk,
1439
00:57:56,540 --> 00:57:59,340
the friction might be doing useful work for the organization.
1440
00:57:59,340 --> 00:58:02,540
But if the answer is vague, historical or purely political,
1441
00:58:02,540 --> 00:58:04,940
then you are looking at pure drag that needs to be removed.
1442
00:58:04,940 --> 00:58:08,140
This is where redesigning your business reality starts to get practical.
1443
00:58:08,140 --> 00:58:10,940
You stop saying this process feels heavy and start saying
1444
00:58:10,940 --> 00:58:13,340
this step duplicates a review we already did.
1445
00:58:13,340 --> 00:58:16,540
You can point to an approval that adds no new judgment or a cue
1446
00:58:16,540 --> 00:58:19,340
that only exists because ownership of the task is unclear.
1447
00:58:19,340 --> 00:58:22,940
That level of specificity changes the entire conversation
1448
00:58:22,940 --> 00:58:26,140
from a complaint into a technical problem we can actually solve.
1449
00:58:26,140 --> 00:58:28,940
It also gives you concrete signals that you can measure over time.
1450
00:58:28,940 --> 00:58:30,140
Cycle time is a big one.
1451
00:58:30,140 --> 00:58:32,540
Not how long the formal manual says a task should take
1452
00:58:32,540 --> 00:58:35,340
but how long it actually takes from entry to action in the real world.
1453
00:58:35,340 --> 00:58:38,940
You should also watch for overwrite frequency, which is how often
1454
00:58:38,940 --> 00:58:41,740
the formal process gets bypassed because someone with enough
1455
00:58:41,740 --> 00:58:43,340
influence forces are faster route.
1456
00:58:43,340 --> 00:58:45,740
If the official design is constantly being ignored,
1457
00:58:45,740 --> 00:58:47,740
it's a sign the system isn't trusted.
1458
00:58:47,740 --> 00:58:51,340
Support load and exception volume are also critical indicators of friction.
1459
00:58:51,340 --> 00:58:54,140
If people are repeatedly asking for manual intervention
1460
00:58:54,140 --> 00:58:56,540
or if the work constantly falls off the standard path,
1461
00:58:56,540 --> 00:58:59,340
you don't have a people issue, you have a flow issue.
1462
00:58:59,340 --> 00:59:01,340
The process isn't stable enough to automate
1463
00:59:01,340 --> 00:59:03,340
because it relies on human rescue to function.
1464
00:59:03,340 --> 00:59:06,540
When you see a handful of overpowered admins or one manager
1465
00:59:06,540 --> 00:59:10,540
who has to bless every move, you found a bottleneck disguised as control.
1466
00:59:10,540 --> 00:59:12,540
Friction isn't some abstract concept.
1467
00:59:12,540 --> 00:59:15,740
It leaves a physical footprint in your rework, your escalations,
1468
00:59:15,740 --> 00:59:20,140
and the volume of compensating behavior your team needs just to survive the week.
1469
00:59:20,140 --> 00:59:22,140
Once you can see that footprint clearly,
1470
00:59:22,140 --> 00:59:23,740
the pain stops being a mystery.
1471
00:59:23,740 --> 00:59:26,940
You can finally stop trying to motivate people to survive a broken system
1472
00:59:26,940 --> 00:59:30,140
and start redesigning the flow, so the system actually works for them.
1473
00:59:30,140 --> 00:59:34,140
Step 3 - redesign flows.
1474
00:59:34,140 --> 00:59:37,740
Once you've identified where the friction lives, your next move is redesign.
1475
00:59:37,740 --> 00:59:39,340
I want to be very specific here.
1476
00:59:39,340 --> 00:59:42,140
I'm talking about redesign, not optimization.
1477
00:59:42,140 --> 00:59:44,940
Optimization assumes the current path is basically correct
1478
00:59:44,940 --> 00:59:46,940
and just needs to run a little bit faster,
1479
00:59:46,940 --> 00:59:50,940
but redesign asks if this is even the right path to achieve the outcome we want.
1480
00:59:50,940 --> 00:59:53,740
Many organizations avoid this question
1481
00:59:53,740 --> 00:59:56,140
because it feels disruptive to the status quo.
1482
00:59:56,140 --> 00:59:58,140
They would much rather tune a few handoffs,
1483
00:59:58,140 --> 01:00:00,940
add a fancy new automation, or tighten an approval process,
1484
01:00:00,940 --> 01:00:02,940
then rethink the entire structure.
1485
01:00:02,940 --> 01:00:06,140
But if your flow is carrying too many transfers and too much ambiguity,
1486
01:00:06,140 --> 01:00:09,740
then all you're doing is making a weak root slightly more efficient.
1487
01:00:09,740 --> 01:00:12,940
From a system's perspective, that isn't an improvement.
1488
01:00:12,940 --> 01:00:16,140
It's just structural compensation with better branding.
1489
01:00:16,140 --> 01:00:18,540
Redesign starts by aggressively simplifying the root.
1490
01:00:18,540 --> 01:00:20,940
You want fewer handoffs, fewer decision points,
1491
01:00:20,940 --> 01:00:23,740
and fewer places where the context of the work can fall apart.
1492
01:00:23,740 --> 01:00:26,740
Every time work changes hands, you aren't just transferring a task.
1493
01:00:26,740 --> 01:00:29,540
You are transferring meaning, responsibility, and timing.
1494
01:00:29,540 --> 01:00:31,940
If those three things don't move together perfectly,
1495
01:00:31,940 --> 01:00:34,340
the next person in line inherits confusion.
1496
01:00:34,340 --> 01:00:38,340
And they slow down because the architecture handed them on certainty instead of clarity.
1497
01:00:38,340 --> 01:00:41,340
That's why your first redesign question should always be about the minimum.
1498
01:00:41,340 --> 01:00:44,940
Ask yourself, what is the minimum number of transitions required for this work
1499
01:00:44,940 --> 01:00:46,540
to reach a reliable outcome?
1500
01:00:46,540 --> 01:00:50,140
Don't worry about the maximum number of stakeholders who might want visibility.
1501
01:00:50,140 --> 01:00:52,140
Focus on the leanest path to the result.
1502
01:00:52,140 --> 01:00:55,540
That shift in perspective changes everything about how you build your infrastructure.
1503
01:00:55,540 --> 01:00:59,340
The next principle is to place context as close to the action as possible.
1504
01:00:59,340 --> 01:01:02,140
If a decision maker has to hunt through Slack, old emails,
1505
01:01:02,140 --> 01:01:04,340
and various dashboards just to understand a request,
1506
01:01:04,340 --> 01:01:06,340
your flow is badly designed.
1507
01:01:06,340 --> 01:01:08,740
Context should arrive with the work.
1508
01:01:08,740 --> 01:01:12,940
The history, the assumptions, and the rationale should all be right there.
1509
01:01:12,940 --> 01:01:16,940
This reduces the coordination tax that drains so much productivity in modern business environments.
1510
01:01:16,940 --> 01:01:20,740
You also have to stop designing only for the happy path where everything goes perfectly.
1511
01:01:20,740 --> 01:01:24,940
Most process efforts fail because they build elegant models for ideal conditions
1512
01:01:24,940 --> 01:01:26,940
and then break the moment reality hits.
1513
01:01:26,940 --> 01:01:28,740
Real work is messy and full of exceptions,
1514
01:01:28,740 --> 01:01:31,340
so if your redesign cannot absorb variation,
1515
01:01:31,340 --> 01:01:34,340
it's just a pretty diagram, not a functional system.
1516
01:01:34,340 --> 01:01:39,540
Exceptional handling, knowing exactly where a case goes when data is missing or rules conflict
1517
01:01:39,540 --> 01:01:42,140
must be part of the architecture from day one.
1518
01:01:42,140 --> 01:01:46,340
In my experience, a good redesign should actually create fewer pathways rather than more.
1519
01:01:46,340 --> 01:01:48,540
When organizations face complexity,
1520
01:01:48,540 --> 01:01:53,140
they often react by layering on more local workarounds and special branches for every edge case.
1521
01:01:53,140 --> 01:01:57,140
Very quickly the system becomes unreadable and unreadable systems are impossible to scale
1522
01:01:57,140 --> 01:01:59,740
because nobody knows which path is real under pressure.
1523
01:01:59,740 --> 01:02:02,740
The better move is to create one clear primary path
1524
01:02:02,740 --> 01:02:06,340
and a small number of explicit exception routes that everyone can see.
1525
01:02:06,340 --> 01:02:10,140
Finally, you must design for redundancy where it actually matters for the business.
1526
01:02:10,140 --> 01:02:12,340
If only one person can unblock a critical flow,
1527
01:02:12,340 --> 01:02:14,940
or only one team understands how a specific route works,
1528
01:02:14,940 --> 01:02:16,540
you've built a single point of failure.
1529
01:02:16,540 --> 01:02:18,940
Redesign is about removing that concentration of risk
1530
01:02:18,940 --> 01:02:20,940
so that your performance isn't just about speed,
1531
01:02:20,940 --> 01:02:23,140
but about speed that survives under pressure.
1532
01:02:23,140 --> 01:02:26,940
The goal of this entire step isn't to make the work look elegant on a slide deck.
1533
01:02:26,940 --> 01:02:30,540
It's to make the movement of work clearer, thinner and more reliable
1534
01:02:30,540 --> 01:02:33,340
under the real world conditions your team faces every day.
1535
01:02:33,340 --> 01:02:37,740
When you achieve that, people stop spending all their energy navigating the route
1536
01:02:37,740 --> 01:02:40,540
and start using that energy to actually drive the outcome.
1537
01:02:40,540 --> 01:02:46,540
But remember, even the best redesign flow will collapse if the power and access still sit in the wrong places.
1538
01:02:46,540 --> 01:02:49,140
Step 4. Align access and ownership.
1539
01:02:49,140 --> 01:02:52,540
We've reached the point where most redesign efforts quietly fall apart
1540
01:02:52,540 --> 01:02:55,740
even when the workflow itself looks cleaner on paper.
1541
01:02:55,740 --> 01:02:58,740
The reason is simple. Access and ownership remain misaligned.
1542
01:02:58,740 --> 01:03:01,540
If you don't fix that structural gap, your new design won't last
1543
01:03:01,540 --> 01:03:04,740
because while flow is about movement, authority is about power.
1544
01:03:04,740 --> 01:03:08,940
You can simplify a route, cut out handoffs and bring context closer to the action,
1545
01:03:08,940 --> 01:03:13,140
but if the people responsible for the outcome can't actually act inside the system,
1546
01:03:13,140 --> 01:03:16,540
the organization will slide right back into its old broken habits.
1547
01:03:16,540 --> 01:03:21,940
The result is a system defined by waiting, escalating and creating manual workarounds.
1548
01:03:21,940 --> 01:03:26,340
People end up asking for permission from managers who don't carry any of the actual consequences,
1549
01:03:26,340 --> 01:03:30,940
which is why matching permissions to accountability is the most critical part of this step.
1550
01:03:30,940 --> 01:03:33,740
You have to align them directly rather than loosely.
1551
01:03:33,740 --> 01:03:38,140
Access isn't just a technical checkbox for the IT department, it is operational power.
1552
01:03:38,140 --> 01:03:41,940
When we look at a system, we have to ask who can create the record,
1553
01:03:41,940 --> 01:03:45,140
who can change the status and who has the right to approve an exception.
1554
01:03:45,140 --> 01:03:48,540
These aren't just administrative settings, they are fundamental design choices
1555
01:03:48,540 --> 01:03:50,540
that dictate how work actually happens.
1556
01:03:50,540 --> 01:03:55,540
If the person who is supposedly accountable for a result cannot move the work forward,
1557
01:03:55,540 --> 01:03:57,140
their ownership is fake.
1558
01:03:57,140 --> 01:04:01,140
Conversely, if someone can intervene in a process without carrying the risk of the outcome,
1559
01:04:01,140 --> 01:04:02,740
your control model is distorted.
1560
01:04:02,740 --> 01:04:05,140
The goal here isn't to give more people more access,
1561
01:04:05,140 --> 01:04:07,540
because that's usually how fragmentation starts to scale.
1562
01:04:07,540 --> 01:04:11,140
Instead, you want to create a sharp, clean relationship between a person's role
1563
01:04:11,140 --> 01:04:12,740
and their ability to take action.
1564
01:04:12,740 --> 01:04:16,540
I like to break this down into four distinct categories, who decides, who advises,
1565
01:04:16,540 --> 01:04:17,940
who executes and who audits.
1566
01:04:17,940 --> 01:04:21,340
These four functions should never blow into each other by accident.
1567
01:04:21,340 --> 01:04:25,140
And while they need to interact, they shouldn't collapse into a muddy permission set
1568
01:04:25,140 --> 01:04:28,340
where everyone participates, but nobody truly owns the result.
1569
01:04:28,340 --> 01:04:32,940
In my experience, Microsoft 365 and Power Platform environments are incredibly revealing
1570
01:04:32,940 --> 01:04:36,740
because the platform mirrors organizational ambiguity with painful honesty.
1571
01:04:36,740 --> 01:04:39,740
If your ownership structure is vague, your permissions will be vague,
1572
01:04:39,740 --> 01:04:41,740
and if power is driven by politics.
1573
01:04:41,740 --> 01:04:43,340
Access becomes a political tool.
1574
01:04:43,340 --> 01:04:46,140
When leadership avoids making hard calls about authority,
1575
01:04:46,140 --> 01:04:51,340
the digital environment fills up with shared mailboxes, broad member rights, and unofficial automation.
1576
01:04:51,340 --> 01:04:54,140
From the outside, this might look like a collaborative culture,
1577
01:04:54,140 --> 01:04:58,540
but from a system perspective, it's just unresolved ownership expressed through software.
1578
01:04:58,540 --> 01:05:04,140
To fix this, you have to ask some uncomfortable questions about who is truly accountable for business outcomes.
1579
01:05:04,140 --> 01:05:08,340
You need to find out if those roles have the system access they need to do their jobs,
1580
01:05:08,340 --> 01:05:12,140
or if people are holding access without any corresponding responsibility.
1581
01:05:12,140 --> 01:05:16,740
Often you'll find that approvals are being done out of habit rather than necessity,
1582
01:05:16,740 --> 01:05:21,740
or that employees are building workarounds because the right action is blocked by a legacy permission model.
1583
01:05:21,740 --> 01:05:24,940
There is one more question that matters more than most teams realize
1584
01:05:24,940 --> 01:05:28,140
where has the organization confused visibility with control?
1585
01:05:28,140 --> 01:05:32,340
These are not the same thing and failing to distinguish between them slows everything down.
1586
01:05:32,340 --> 01:05:35,540
A leader might need to see a flow without being the one who approves it,
1587
01:05:35,540 --> 01:05:40,340
just as a governance team, might need to audit a process without being part of the daily handoff.
1588
01:05:40,340 --> 01:05:45,740
When these lines are blurred, you end up with too many editors and too many people copied on emails for safety,
1589
01:05:45,740 --> 01:05:47,740
which isn't resilience, it's just diffusion.
1590
01:05:47,740 --> 01:05:50,140
Diffusion is the fastest way to kill accountability,
1591
01:05:50,140 --> 01:05:52,740
so the best move in a redesign is usually subtraction.
1592
01:05:52,740 --> 01:05:55,740
You want to remove those zones of ambiguous ownership
1593
01:05:55,740 --> 01:06:00,140
and cut out the unnecessary layers of approval that don't add value.
1594
01:06:00,140 --> 01:06:03,740
Give the accountable roles the rights they need to act limit override permissions
1595
01:06:03,740 --> 01:06:07,740
where they are actually justified and make your escalation paths explicit.
1596
01:06:07,740 --> 01:06:10,340
When you document responsibility in the language of action,
1597
01:06:10,340 --> 01:06:13,340
asking who can trigger a flow or who can be audited afterward,
1598
01:06:13,340 --> 01:06:15,740
you rebuild trust across the entire organization.
1599
01:06:15,740 --> 01:06:18,140
Once authority finally sits where the consequence sits,
1600
01:06:18,140 --> 01:06:21,140
the platform stops feeling like a confusing maze of permissions.
1601
01:06:21,140 --> 01:06:23,740
It starts behaving like a coherent operating model,
1602
01:06:23,740 --> 01:06:26,340
which is the real shift required for a system to scale.
1603
01:06:26,340 --> 01:06:28,940
Only after you've achieved this structural clarity,
1604
01:06:28,940 --> 01:06:33,540
does automation become a true force multiplier instead of just amplifying the existing chaos?
1605
01:06:33,540 --> 01:06:38,940
Step 5. Layar AI and automation last.
1606
01:06:38,940 --> 01:06:42,140
Now we finally get to the part that everyone wants to lead with AI,
1607
01:06:42,140 --> 01:06:44,340
co-pilots and the promise of total automation.
1608
01:06:44,340 --> 01:06:47,740
It's tempting to start here because these tools offer incredible speed,
1609
01:06:47,740 --> 01:06:50,940
but they should always be the final layer of your architecture.
1610
01:06:50,940 --> 01:06:54,340
AI is not a repair tool that fixes broken processes.
1611
01:06:54,340 --> 01:06:58,340
It is an acceleration layer that makes whatever you already have move faster.
1612
01:06:58,340 --> 01:07:00,140
If your decision paths are a mess,
1613
01:07:00,140 --> 01:07:03,940
AI will simply help you make bad decisions at a higher velocity.
1614
01:07:03,940 --> 01:07:07,540
If your data is fragmented and your permissions are politically distorted,
1615
01:07:07,540 --> 01:07:10,940
automation will scale that distortion across your entire enterprise.
1616
01:07:10,940 --> 01:07:14,940
When you ask an agent to operate in an environment where exception handling is vague,
1617
01:07:14,940 --> 01:07:18,340
that agent will hit a wall of uncertainty and fail more often.
1618
01:07:18,340 --> 01:07:20,140
The system isn't broken in that scenario,
1619
01:07:20,140 --> 01:07:21,940
it's doing exactly what it was designed to do,
1620
01:07:21,940 --> 01:07:23,540
but it's being pushed to a speed,
1621
01:07:23,540 --> 01:07:26,140
the underlying organization can't actually support.
1622
01:07:26,140 --> 01:07:29,540
Most AI disappointments don't happen because the technology is bad.
1623
01:07:29,540 --> 01:07:34,340
They happen because the organization tried to use AI to pay off design debt.
1624
01:07:34,340 --> 01:07:37,340
That debt doesn't just go away when you add intelligence,
1625
01:07:37,340 --> 01:07:40,340
it actually compounds and becomes more expensive to manage.
1626
01:07:40,340 --> 01:07:42,340
When I say you should layer AI last,
1627
01:07:42,340 --> 01:07:44,140
I'm talking about the sequence of the work.
1628
01:07:44,140 --> 01:07:46,740
You have to make the flow legible and the ownership clear
1629
01:07:46,740 --> 01:07:48,740
before you ever touch an automation tool.
1630
01:07:48,740 --> 01:07:52,340
Once you've stabilized the data path and defined where human judgment still matters,
1631
01:07:52,340 --> 01:07:55,940
you can finally decide what should be automated and what should be augmented.
1632
01:07:55,940 --> 01:07:57,340
This is a vital distinction
1633
01:07:57,340 --> 01:08:00,340
because stable repeatable tasks are great for automation,
1634
01:08:00,340 --> 01:08:04,140
while high variability work with real consequences is better for augmentation.
1635
01:08:04,140 --> 01:08:05,340
If you ignore this difference,
1636
01:08:05,340 --> 01:08:07,540
you'll either automate something unstable
1637
01:08:07,540 --> 01:08:09,740
and create a nightmare of manual exceptions
1638
01:08:09,740 --> 01:08:13,140
or you'll waste human talent on work the system could have handled alone.
1639
01:08:13,140 --> 01:08:14,740
In a well-sequenced system,
1640
01:08:14,740 --> 01:08:16,340
you know exactly where the work starts,
1641
01:08:16,340 --> 01:08:19,340
who owns the next move and which data source holds the truth.
1642
01:08:19,340 --> 01:08:21,540
You understand which cases can flow straight through
1643
01:08:21,540 --> 01:08:24,740
and which ones require a human to pause and review the edge cases.
1644
01:08:24,740 --> 01:08:28,340
This creates a structural boundary where AI has a safe place to land
1645
01:08:28,340 --> 01:08:30,740
and human in the loop stops being a feel-good phrase
1646
01:08:30,740 --> 01:08:32,740
and starts being a strategic decision.
1647
01:08:32,740 --> 01:08:36,140
Human judgment stays where risk and values require interpretation
1648
01:08:36,140 --> 01:08:39,540
while the machine handles the patent recognition and repetitive execution.
1649
01:08:39,540 --> 01:08:42,540
The real question for leaders isn't about how fast they can adopt AI
1650
01:08:42,540 --> 01:08:46,740
but rather what kind of organization they are asking that AI to accelerate.
1651
01:08:46,740 --> 01:08:49,740
AI cannot create clarity where none exists.
1652
01:08:49,740 --> 01:08:52,540
It only reveals the quality of your existing architecture.
1653
01:08:52,540 --> 01:08:55,740
I've seen companies roll out co-pilot into messy environments
1654
01:08:55,740 --> 01:08:57,940
where truth was contested and rights were unclear
1655
01:08:57,940 --> 01:08:59,940
and while individuals got slightly faster,
1656
01:08:59,940 --> 01:09:02,340
the organization as a whole didn't get any smarter.
1657
01:09:02,340 --> 01:09:03,940
That isn't a digital transformation,
1658
01:09:03,940 --> 01:09:05,540
it's just velocity without alignment.
1659
01:09:05,540 --> 01:09:08,940
The strategic move is always architecture first followed by design,
1660
01:09:08,940 --> 01:09:11,140
then optimization and finally automation.
1661
01:09:11,140 --> 01:09:15,540
When you let AI sit on top as the final multiplier of a coherent operating model,
1662
01:09:15,540 --> 01:09:19,540
it stops being a distraction or a workaround for a broken structure.
1663
01:09:19,540 --> 01:09:22,740
It becomes a force multiplier for clarity and that is the exact moment
1664
01:09:22,740 --> 01:09:25,740
when your technology stops fighting the business and starts reinforcing it.
1665
01:09:25,740 --> 01:09:29,740
What this means for Microsoft 365 co-pilot and power platform.
1666
01:09:29,740 --> 01:09:31,740
So what does all of this actually mean?
1667
01:09:31,740 --> 01:09:36,140
If your daily environment is built on Microsoft 365 co-pilot and the power platform,
1668
01:09:36,140 --> 01:09:39,740
it means you have to stop thinking about these tools as simple productivity products
1669
01:09:39,740 --> 01:09:42,940
because they aren't just software packages you install to check a box.
1670
01:09:42,940 --> 01:09:47,340
They are operating surfaces that expose exactly how work moves through your company,
1671
01:09:47,340 --> 01:09:50,740
where context lives and who actually has the power to act.
1672
01:09:50,740 --> 01:09:54,740
When you look at these platforms, they reveal whether your organization has clean relationships
1673
01:09:54,740 --> 01:09:57,940
between information, responsibility and action,
1674
01:09:57,940 --> 01:09:59,940
or if things are just tangled together.
1675
01:09:59,940 --> 01:10:04,940
This is exactly why Microsoft 365 maturity can be so misleading for leadership teams.
1676
01:10:04,940 --> 01:10:08,140
An organization can have teams, sharepoint, power automate,
1677
01:10:08,140 --> 01:10:11,940
and co-pilot running with strong security controls and active governance
1678
01:10:11,940 --> 01:10:14,140
yet still remains structurally slow.
1679
01:10:14,140 --> 01:10:19,140
None of those technical milestones guarantee coherence because they only prove that capability is available
1680
01:10:19,140 --> 01:10:22,140
which is never the same thing as having a high quality operating model.
1681
01:10:22,140 --> 01:10:25,940
If you are leading in this space, the question isn't whether you've deployed the platform well
1682
01:10:25,940 --> 01:10:29,740
but rather what kind of organizational logic that platform is currently reinforcing.
1683
01:10:29,740 --> 01:10:33,140
Let's look at Microsoft 365 more broadly as an operating substrate
1684
01:10:33,140 --> 01:10:34,940
where your business reality lives.
1685
01:10:34,940 --> 01:10:39,140
It is the place where communication happens, files move and decisions are discussed,
1686
01:10:39,140 --> 01:10:42,940
and the permissions within it shape who has access to vital context.
1687
01:10:42,940 --> 01:10:46,940
When M365 feels noisy, fragmented or politically heavy,
1688
01:10:46,940 --> 01:10:51,940
that usually isn't a tool problem but an organizational design problem showing up through the software.
1689
01:10:51,940 --> 01:10:54,740
Too many teams channels often reflect unclear boundaries,
1690
01:10:54,740 --> 01:10:58,740
while too many chats carrying key decisions show that your interaction design is weak.
1691
01:10:58,740 --> 01:11:01,540
The platform isn't causing this behavior out of nowhere.
1692
01:11:01,540 --> 01:11:05,140
It is simply making the underlying business reality visible to everyone.
1693
01:11:05,140 --> 01:11:08,540
Now map that same logic to co-pilot which only becomes truly valuable
1694
01:11:08,540 --> 01:11:14,940
when your context and truth sources are aligned enough for AI assistance to land inside a coherent flow.
1695
01:11:14,940 --> 01:11:16,740
If the underlying environment is clean,
1696
01:11:16,740 --> 01:11:20,340
co-pilot can reduce search time and help people recover their state quickly
1697
01:11:20,340 --> 01:11:22,540
which is incredibly useful for daily operations.
1698
01:11:22,540 --> 01:11:27,740
But if your source landscape is contradictory and your collaboration patterns vary rationale in private channels,
1699
01:11:27,740 --> 01:11:32,340
co-pilot will still generate output, it just won't reliably generate organizational clarity.
1700
01:11:32,340 --> 01:11:35,940
That is the trap where leaders see individual productivity gains
1701
01:11:35,940 --> 01:11:40,140
and assume the whole organization is transforming when really people are just producing faster
1702
01:11:40,140 --> 01:11:42,140
inside a fragmented architecture.
1703
01:11:42,140 --> 01:11:45,740
Success with co-pilot isn't mainly a question of how well you can write a prompt
1704
01:11:45,740 --> 01:11:47,740
but a question of how you design your information.
1705
01:11:47,740 --> 01:11:50,940
You have to ask if the tool can access the right context
1706
01:11:50,940 --> 01:11:55,940
and if the human receiving the output can actually act inside clear decision boundaries.
1707
01:11:55,940 --> 01:11:59,140
If those structural pieces are missing, the value stays local
1708
01:11:59,140 --> 01:12:01,340
and never scales to the rest of the business.
1709
01:12:01,340 --> 01:12:02,940
This brings us to Power Automate
1710
01:12:02,940 --> 01:12:07,340
which is where fragmentation gets dangerous because the tool scales so beautifully.
1711
01:12:07,340 --> 01:12:10,140
While it can scale efficiency, it can also scale brittleness
1712
01:12:10,140 --> 01:12:14,340
if the process underneath is unstable or dependent on invisible human judgment.
1713
01:12:14,340 --> 01:12:16,540
When an unstable workflow gets automated,
1714
01:12:16,540 --> 01:12:18,940
the manual effort doesn't actually disappear.
1715
01:12:18,940 --> 01:12:22,940
It just moves into exception handling admin intervention and support tickets.
1716
01:12:22,940 --> 01:12:25,740
The flow might run technically while failing operationally,
1717
01:12:25,740 --> 01:12:29,940
creating a false sense of maturity that eventually erodes trust across the team.
1718
01:12:29,940 --> 01:12:35,340
Power Platform governance matters here too, but only if it supports the flow of work instead of just slowing it down.
1719
01:12:35,340 --> 01:12:39,340
Good governance should clarify ownership and make approved pathways easier to follow
1720
01:12:39,340 --> 01:12:40,740
than shadow IT solutions.
1721
01:12:40,740 --> 01:12:43,740
If your governance adds delay without adding any clarity,
1722
01:12:43,740 --> 01:12:46,740
it isn't strengthening the platform, it's just increasing latency.
1723
01:12:46,740 --> 01:12:48,740
The executive implication is straightforward.
1724
01:12:48,740 --> 01:12:54,340
Stop buying isolated gains and stop treating M365 as a bundle of apps or co-pilot as a miracle layer.
1725
01:12:54,340 --> 01:12:57,140
You need to start designing a platform supported operating model
1726
01:12:57,140 --> 01:13:00,540
where decision flow is clear and access reflects real accountability.
1727
01:13:00,540 --> 01:13:02,940
Then the Microsoft stack becomes powerful,
1728
01:13:02,940 --> 01:13:07,540
not because the tools got smarter, but because the organization became coherent enough to use them.
1729
01:13:07,540 --> 01:13:09,740
The metrics of a designed organization.
1730
01:13:09,740 --> 01:13:12,140
If we are serious about designing organizations,
1731
01:13:12,140 --> 01:13:14,940
then we also need to get serious about what we actually measure.
1732
01:13:14,940 --> 01:13:19,540
This is where most leadership teams drift back into old habits by talking about transformation
1733
01:13:19,540 --> 01:13:22,740
while only measuring license adoption or meeting counts.
1734
01:13:22,740 --> 01:13:24,940
Those things are signals, but they aren't proof
1735
01:13:24,940 --> 01:13:28,340
that the organization is becoming structurally better or more resilient.
1736
01:13:28,340 --> 01:13:32,140
You need metrics that describe how the organization behaves as a system
1737
01:13:32,140 --> 01:13:34,740
rather than just reporting that activity happened.
1738
01:13:34,740 --> 01:13:37,540
The first category you should focus on is decision flow,
1739
01:13:37,540 --> 01:13:39,540
specifically looking at decision latency.
1740
01:13:39,540 --> 01:13:42,140
You want to measure how much time passes between a signal,
1741
01:13:42,140 --> 01:13:44,140
the judgment, the commitment and the final action.
1742
01:13:44,140 --> 01:13:47,140
It's not about when the request was logged or when the deck was presented
1743
01:13:47,140 --> 01:13:49,140
but when the organization actually moved.
1744
01:13:49,140 --> 01:13:52,940
You should also track escalation frequency to see how often work gets pushed upward
1745
01:13:52,940 --> 01:13:55,340
because local authority or confidence is missing.
1746
01:13:55,340 --> 01:13:57,140
If your escalations are high,
1747
01:13:57,140 --> 01:13:59,540
it's a sign the system doesn't trust its own design
1748
01:13:59,540 --> 01:14:04,340
and your reversible decisions are likely facing the same friction as irreversible ones.
1749
01:14:04,340 --> 01:14:06,140
The second category is data trust
1750
01:14:06,140 --> 01:14:09,740
because if people don't trust the data path, they will manually rebuild the truth
1751
01:14:09,740 --> 01:14:11,140
every time the pressure rises.
1752
01:14:11,140 --> 01:14:13,940
You can measure this by looking at duplicate source creation
1753
01:14:13,940 --> 01:14:18,540
where teams create local versions of key data just to feel safe enough to act.
1754
01:14:18,540 --> 01:14:20,340
Look at the reconciliation effort as well,
1755
01:14:20,340 --> 01:14:22,740
calculating how much human time is spent,
1756
01:14:22,740 --> 01:14:25,540
comparing reports and resolving definition disputes.
1757
01:14:25,540 --> 01:14:28,540
If teams can't trace where a metric came from or who owns it,
1758
01:14:28,540 --> 01:14:32,340
then your trust is weak even if your dashboards look polished and professional.
1759
01:14:32,340 --> 01:14:34,540
Next we have to look at interaction quality
1760
01:14:34,540 --> 01:14:37,540
and I mean quality in a structural sense rather than an emotional one.
1761
01:14:37,540 --> 01:14:40,340
Track how many handoffs require a full re-explanation
1762
01:14:40,340 --> 01:14:44,540
and how much response lag appears when work crosses a departmental boundary.
1763
01:14:44,540 --> 01:14:47,540
A great signal here is documentation reuse.
1764
01:14:47,540 --> 01:14:51,540
If people keep asking questions that should be answerable from the recorded path,
1765
01:14:51,540 --> 01:14:53,340
your interaction model is leaking meaning.
1766
01:14:53,340 --> 01:14:57,340
When meetings exist mainly to restore missing context that should have been there already,
1767
01:14:57,340 --> 01:14:59,340
your system is failing to sustain itself.
1768
01:14:59,340 --> 01:15:01,340
The fourth category is power alignment,
1769
01:15:01,340 --> 01:15:03,340
which is the one most organizations avoid
1770
01:15:03,340 --> 01:15:05,940
because it gets politically uncomfortable very quickly.
1771
01:15:05,940 --> 01:15:09,340
You need to track approval concentration to see how many critical flows
1772
01:15:09,340 --> 01:15:11,540
depend on a very small number of people
1773
01:15:11,540 --> 01:15:13,940
which reveals your single points of failure.
1774
01:15:13,940 --> 01:15:15,340
Watch for override patterns
1775
01:15:15,340 --> 01:15:18,740
where the formal process gets bypassed by influence or urgency
1776
01:15:18,740 --> 01:15:22,340
because if overrides are common, your official model isn't the real one.
1777
01:15:22,340 --> 01:15:26,740
You also need to spot access mismatches where people hold permissions without responsibility
1778
01:15:26,740 --> 01:15:30,540
or where accountable roles lack the access they need to actually do their jobs.
1779
01:15:30,540 --> 01:15:33,940
These metrics matter because they shift the conversation away from performance,
1780
01:15:33,940 --> 01:15:36,340
theatre and toward structural reality.
1781
01:15:36,340 --> 01:15:38,940
An organization can look digitally mature on paper
1782
01:15:38,940 --> 01:15:40,740
and still have terrible decision latency
1783
01:15:40,740 --> 01:15:43,340
or spend huge amounts of time reconciling the truth.
1784
01:15:43,340 --> 01:15:46,540
The point isn't to look modern, the point is to become structurally capable
1785
01:15:46,540 --> 01:15:50,540
by measuring the things that reveal if flow is cleaner and trust is stronger.
1786
01:15:50,540 --> 01:15:52,540
If I were starting with a simple scorecard,
1787
01:15:52,540 --> 01:15:55,140
I would want to see decision latency, escalation rates
1788
01:15:55,140 --> 01:15:57,740
and reconciliation effort visible every single week.
1789
01:15:57,740 --> 01:16:01,340
These numbers tell you whether the organization is becoming easier to move through
1790
01:16:01,340 --> 01:16:03,140
which is the only test that actually matters.
1791
01:16:03,140 --> 01:16:05,540
It's not about whether the platform is busy
1792
01:16:05,540 --> 01:16:07,540
or if the licenses are assigned
1793
01:16:07,540 --> 01:16:10,340
but whether the business can act with clarity under pressure.
1794
01:16:10,340 --> 01:16:14,140
Mature organizations aren't defined by how much process they have on the books.
1795
01:16:14,140 --> 01:16:19,140
They are defined by how much coordinated movement their design allows when things get difficult.
1796
01:16:19,140 --> 01:16:23,140
If you audited your organizational design the same way you audit your technical systems
1797
01:16:23,140 --> 01:16:27,140
you might find that your current structure is actually designed to slow you down.
1798
01:16:27,140 --> 01:16:29,740
The counterintuitive truth about high performance.
1799
01:16:29,740 --> 01:16:32,340
So here's the counterintuitive part of the whole equation.
1800
01:16:32,340 --> 01:16:34,940
The organizations that look the most advanced on paper
1801
01:16:34,940 --> 01:16:38,140
are not always the ones that actually perform the best in the real world.
1802
01:16:38,140 --> 01:16:40,940
In fact, I've seen that sometimes the exact opposite is true.
1803
01:16:40,940 --> 01:16:42,540
The more complex your environment becomes,
1804
01:16:42,540 --> 01:16:45,940
the more dangerous that kind of superficial sophistication gets for the business.
1805
01:16:45,940 --> 01:16:49,340
You can have a modern platform stack and strong governance language
1806
01:16:49,340 --> 01:16:53,540
while keeping AI pilots in motion and cross-functional steering groups on the calendar.
1807
01:16:53,540 --> 01:16:56,540
You might have detailed reporting and a polished transformation narrative
1808
01:16:56,540 --> 01:17:00,940
yet still find yourself slower, heavier and less reliable than a simpler organization
1809
01:17:00,940 --> 01:17:02,740
with better structural alignment.
1810
01:17:02,740 --> 01:17:03,540
And why is that?
1811
01:17:03,540 --> 01:17:06,140
It's because sophistication is not the same thing as coherence.
1812
01:17:06,140 --> 01:17:10,740
A lot of leaders still assume that performance improves whenever you add more capability to the mix.
1813
01:17:10,740 --> 01:17:14,340
They add more tools, more controls, more specialist functions and more dashboards
1814
01:17:14,340 --> 01:17:18,340
until the system is buried under process layers and departmental optimization.
1815
01:17:18,340 --> 01:17:20,540
That feels disciplined and it certainly feels mature
1816
01:17:20,540 --> 01:17:23,540
but if those additions aren't aligned into one operating logic
1817
01:17:23,540 --> 01:17:24,740
they don't increase performance.
1818
01:17:24,740 --> 01:17:27,140
Instead they just increase internal drag.
1819
01:17:27,140 --> 01:17:30,740
The truth isn't that advanced organizations are inherently bad
1820
01:17:30,740 --> 01:17:34,940
but rather that advancement without alignment becomes expensive very quickly.
1821
01:17:34,940 --> 01:17:38,140
Every extra layer creates another point where work can pause
1822
01:17:38,140 --> 01:17:42,740
meaning can split and responsibility can blur until power distorts the path entirely.
1823
01:17:42,740 --> 01:17:45,340
That is why I keep coming back to the concept of design.
1824
01:17:45,340 --> 01:17:49,140
High performance is not the outcome of endless improvement activity.
1825
01:17:49,140 --> 01:17:51,140
It is the outcome of architectural fit.
1826
01:17:51,140 --> 01:17:53,140
When the decision flow fits the pace of the business
1827
01:17:53,140 --> 01:17:58,140
and the data flow fits the need for trust, performance rises even if the environment isn't flashy.
1828
01:17:58,140 --> 01:18:02,140
Interaction must fit the complexity of coordination and power must fit
1829
01:18:02,140 --> 01:18:05,140
the people accountable for outcomes for the system to actually work
1830
01:18:05,140 --> 01:18:10,540
when those things don't fit performance falls even if the organization looks digitally impressive from the outside.
1831
01:18:10,540 --> 01:18:14,740
This is a hard truth for leadership teams because it challenges a very common instinct
1832
01:18:14,740 --> 01:18:16,340
to optimize whatever is visible.
1833
01:18:16,340 --> 01:18:19,740
If approvals feel slow, they optimize approvals and if meetings feel heavy
1834
01:18:19,740 --> 01:18:23,140
or reporting feels messy they try to optimize those specific points.
1835
01:18:23,140 --> 01:18:26,940
Even when AI value is weak, the instinct is to optimize prompting, training
1836
01:18:26,940 --> 01:18:29,340
or use case selection to fix the immediate gap.
1837
01:18:29,340 --> 01:18:31,940
But here's the thing, those interventions might help locally.
1838
01:18:31,940 --> 01:18:36,140
But they won't solve the deeper issue when the organization is fragmented at the design level.
1839
01:18:36,140 --> 01:18:40,940
You cannot optimize your way into coherence because you have to design for it from the ground up.
1840
01:18:40,940 --> 01:18:44,740
That shift in perspective changes how we think about high performance entirely.
1841
01:18:44,740 --> 01:18:49,140
High performing organizations are not just better managed collections of parts.
1842
01:18:49,140 --> 01:18:54,340
They are aligned systems designed to reduce unnecessary interpretation at the point of action.
1843
01:18:54,340 --> 01:18:57,540
They are designed so people know where truth lives and routine decisions
1844
01:18:57,540 --> 01:18:59,940
don't have to pretend to be strategic theatre.
1845
01:18:59,940 --> 01:19:05,340
These systems ensure that technology reinforces the path instead of exposing the confusion inside it
1846
01:19:05,340 --> 01:19:08,740
which is why alignment beats sophistication every time complexity rises.
1847
01:19:08,740 --> 01:19:14,740
Complexity multiplies the cost of every inconsistency, turning a small annoyance into a massive structural failure.
1848
01:19:14,740 --> 01:19:17,140
One week handoff in a small organization is annoying,
1849
01:19:17,140 --> 01:19:20,940
but that same handoff in a highly connected AI accelerated organization
1850
01:19:20,940 --> 01:19:22,740
becomes a destructive chain reaction.
1851
01:19:22,740 --> 01:19:25,740
An unclear owner in a simple process creates a delay,
1852
01:19:25,740 --> 01:19:31,340
while an unclear owner in an automated cross-platform flow creates stalled work and a total loss of confidence at scale.
1853
01:19:31,340 --> 01:19:37,140
If complexity is increasing then structural resilience matters more than any isolated best practice you could implement.
1854
01:19:37,140 --> 01:19:42,340
They use the phrase structural resilience because it describes the actual requirement for a modern business to survive.
1855
01:19:42,340 --> 01:19:45,340
Can the organization keep moving clearly under pressure and speed
1856
01:19:45,340 --> 01:19:49,140
or does it collapse into meetings and manual repair the moment an exception occurs?
1857
01:19:49,140 --> 01:19:52,940
Can it handle acceleration without multiplying confusion across the entire stack?
1858
01:19:52,940 --> 01:19:57,140
That is what high performance really means now, not maximum activity or looking transformed,
1859
01:19:57,140 --> 01:19:58,740
but being structurally capable.
1860
01:19:58,740 --> 01:20:01,740
Once you see that the sequence of work becomes much clearer.
1861
01:20:01,740 --> 01:20:05,140
Design first, optimize second, and automate last.
1862
01:20:05,140 --> 01:20:06,740
That is the order you have to follow.
1863
01:20:06,740 --> 01:20:09,940
If you reverse it, you usually end up amplifying instability,
1864
01:20:09,940 --> 01:20:14,140
but if you respect that order, then optimization finally lands in the right place.
1865
01:20:14,140 --> 01:20:17,340
It sharpens a coherent path instead of just decorating a broken one
1866
01:20:17,340 --> 01:20:22,340
and automation finally becomes a strategic tool that accelerates a system that already knows how to move.
1867
01:20:22,340 --> 01:20:25,540
The most effective organizations are not the ones doing the most.
1868
01:20:25,540 --> 01:20:29,540
They are the ones with the cleanest fit between architecture and business reality.
1869
01:20:29,540 --> 01:20:31,140
Where leaders should start on Monday.
1870
01:20:31,140 --> 01:20:34,540
So if you are leading a team, a function, or a platform environment,
1871
01:20:34,540 --> 01:20:36,540
where do you actually start on Monday morning?
1872
01:20:36,540 --> 01:20:39,740
You don't start with a transformation office, a new AI pilot,
1873
01:20:39,740 --> 01:20:44,140
or a broad maturity assessment that produces 47 recommendations nobody can absorb.
1874
01:20:44,140 --> 01:20:48,140
You start with one flow, specifically one high friction decision flow,
1875
01:20:48,140 --> 01:20:51,740
with a visible business impact that your organization feels every single week.
1876
01:20:51,740 --> 01:20:56,140
Maybe it's a budget approval that always stalls or a customer issue that keeps escalating,
1877
01:20:56,140 --> 01:20:59,940
or perhaps it's a reporting cycle that triggers arguments instead of action.
1878
01:20:59,940 --> 01:21:02,940
You might have a project intake path that looks governed,
1879
01:21:02,940 --> 01:21:04,340
but moves like wet concrete.
1880
01:21:04,340 --> 01:21:06,740
So just pick one and do something very simple.
1881
01:21:06,740 --> 01:21:08,740
Map the real path, not the official one,
1882
01:21:08,740 --> 01:21:11,940
and sit with the people inside the flow to trace what actually happens.
1883
01:21:11,940 --> 01:21:14,140
You need to see where it starts, where it pauses,
1884
01:21:14,140 --> 01:21:17,340
and who really makes the final decision when things get complicated.
1885
01:21:17,340 --> 01:21:21,140
Ask which data gets questioned, where chat replaces the official process,
1886
01:21:21,140 --> 01:21:24,540
and where someone with unofficial authority steps into change the route.
1887
01:21:24,540 --> 01:21:28,540
That exercise alone will tell you more than another status tech ever could,
1888
01:21:28,540 --> 01:21:32,540
and then you can identify three specific things, one ownership ambiguity,
1889
01:21:32,540 --> 01:21:34,940
one truth conflict, and one interaction bottleneck.
1890
01:21:34,940 --> 01:21:36,340
That is enough to get started.
1891
01:21:36,340 --> 01:21:39,340
You do not need a full organizational redesign to begin this process.
1892
01:21:39,340 --> 01:21:42,940
You just need one piece of visible reality you are willing to treat seriously.
1893
01:21:42,940 --> 01:21:46,540
Redesign that one flow by clarifying the decision owner,
1894
01:21:46,540 --> 01:21:50,540
reducing one unnecessary approval, and moving context closer to the point of action.
1895
01:21:50,540 --> 01:21:54,140
Remove one duplicate report, and align one permission with one accountable role
1896
01:21:54,140 --> 01:21:55,940
to see how the system responds.
1897
01:21:55,940 --> 01:22:00,140
That may sound small, but it isn't, because once one important flow becomes clearer,
1898
01:22:00,140 --> 01:22:02,540
the people inside it feel the difference immediately.
1899
01:22:02,540 --> 01:22:04,340
They experience less waiting, less guessing,
1900
01:22:04,340 --> 01:22:07,540
and less of that protective communication that eats up so much time.
1901
01:22:07,540 --> 01:22:11,340
This creates credibility, which is something most transformation programs struggle to produce
1902
01:22:11,340 --> 01:22:13,740
because they focus on announcements rather than results.
1903
01:22:13,740 --> 01:22:15,740
The system starts behaving differently,
1904
01:22:15,740 --> 01:22:19,140
and that is the kind of momentum you want, a designed system outcome,
1905
01:22:19,140 --> 01:22:20,740
rather than a corporate slogan.
1906
01:22:20,740 --> 01:22:23,540
Once you have one success, you can repeat the method.
1907
01:22:23,540 --> 01:22:26,940
See the reality, identify the friction, redesign the flow,
1908
01:22:26,940 --> 01:22:29,740
and align access before layering automation last.
1909
01:22:29,740 --> 01:22:34,140
This sequence scales because it is based on operational truth instead of blind optimism.
1910
01:22:34,140 --> 01:22:37,340
If you are working in the Microsoft 365 world specifically,
1911
01:22:37,340 --> 01:22:39,340
this approach is even more practical.
1912
01:22:39,340 --> 01:22:44,940
Choose one flow already touching teams, sharepoint, power automate, and approvals,
1913
01:22:44,940 --> 01:22:48,740
because those environments already contain all the evidence you need.
1914
01:22:48,740 --> 01:22:53,540
You do not need more abstraction, you just need better observation of how work actually moves.
1915
01:22:53,540 --> 01:22:56,140
So here is the question I would bring into the office on Monday,
1916
01:22:56,140 --> 01:23:00,740
where in our organization is important work still being held together by human compensation,
1917
01:23:00,740 --> 01:23:05,340
find that point of failure where people are working around the system just to get things done.
1918
01:23:05,340 --> 01:23:07,340
That is where your design work should begin.
1919
01:23:07,340 --> 01:23:11,540
Adding more capability to a fragmented model won't build a better organization
1920
01:23:11,540 --> 01:23:16,940
because real growth only happens when you design how work, truth, and authority actually move together.
1921
01:23:16,940 --> 01:23:21,940
If this perspective changed how you see performance, I'd appreciate a review or a connection on LinkedIn.
1922
01:23:21,940 --> 01:23:27,940
Subscribe to the podcast for more deep dives on Microsoft 365 Copilot and the modern workplace.

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.








