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Maximilian Kenfenheuer

Manager @ BearingPoint

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#Microsoft365Copilot #MicrosoftAI #Copilot #AITransformation #FutureOfWork

Why Microsoft’s New Focus on Measuring Completed Work Matters for Enterprise AI

Thursday, September 10, 2026 · Maximilian Kenfenheuer

Most AI dashboards still tell you what happened in the tool, not what happened in the work. That is why Microsoft’s latest shift around Copilot Cowork measurement stands out to me. The conversation is moving beyond prompts, clicks, and activity counts toward something more useful: whether AI is actually helping people complete meaningful work and return time to the business. For organizations investing in Microsoft AI solutions, that matters. If value is measured only by interaction volume, it is easy to confuse usage with impact. But when Microsoft starts framing measurement around assisted hours, completed work, and business process outcomes, it signals a more mature model for enterprise AI adoption. In the article, I explore: • why this change in measurement is strategically important for Microsoft AI solutions • what it says about the shift from AI engagement metrics to work outcome metrics • why baseline process measurement and role-based use cases matter more than generic adoption reporting • and how organizations can think more clearly about ROI as Copilot and agents become part of operational work For me, this is one of the more important signs that Microsoft AI solutions are being positioned not just as tools people use, but as capabilities businesses need to evaluate against real work transformation. How do you think organizations should measure AI success: by usage, by time returned, or by completed business outcomes?

Why Power BI Grounding Could Be a Bigger Microsoft AI Shift Than It First Appears

Wednesday, September 9, 2026 · Maximilian Kenfenheuer

Power BI is becoming a more important part of the Microsoft AI story. One of the more interesting recent updates is that Microsoft 365 Copilot can now reason over Power BI reports and semantic models in Chat and Cowork. For me, that matters because it moves Microsoft AI solutions closer to a question many leaders actually care about: can AI work with governed business metrics, not just documents and conversations? That is a meaningful step. When AI can answer in natural language against enterprise data models people already trust, the conversation shifts from generic productivity to decision support grounded in the business’s own definitions, permissions, and reporting structure. In the article, I explore: • why Power BI grounding changes the strategic value of Microsoft AI solutions • how semantic models help create more reliable AI answers than disconnected data access • why governed metrics may become a key layer in enterprise AI adoption • and what organizations should consider as Copilot moves closer to analytics and operational decision-making For me, this is another sign that Microsoft is building AI not only around content creation, but around enterprise understanding. How important do you think governed analytics context will become in making Microsoft AI solutions truly useful at scale?

Why Work IQ Could Become a Foundational Layer in Microsoft AI Solutions (1)

Tuesday, September 8, 2026 · Maximilian Kenfenheuer

June 16 is a notable date in Microsoft AI solutions, not because of another chat feature, but because Work IQ APIs are becoming generally available beyond Microsoft 365 Copilot licensing. For me, that signals something bigger: Microsoft is starting to define enterprise AI around a shared intelligence layer for agents, apps, and workflows, not only around one assistant experience. That matters because once AI can reason over chat, files, meetings, people, and actions through a governed, permission-aware layer, the conversation changes. It becomes less about isolated copilots and more about how organizations build reliable AI systems on top of their actual work graph. In the article, I explore: • why Work IQ represents a deeper architectural move in Microsoft AI solutions • how APIs, A2A support, and a compact tool model point toward more scalable agent design • why governance and cost controls are becoming part of the platform story, not an afterthought • and what organizations should consider as Microsoft expands AI from product feature to enterprise intelligence layer I think this is one of the clearest signs yet that Microsoft AI solutions are evolving into infrastructure for how work gets understood and executed. How important do you think a shared intelligence layer like Work IQ will become in enterprise AI strategy?

Posts tagged #AI

Why Model Choice in Microsoft 365 Copilot Could Become a Strategic Enterprise Advantage

Saturday, August 8, 2026 · Maximilian Kenfenheuer

#Microsoft365Copilot #MicrosoftAI #AI #CopilotStudio #EnterpriseAI

Model choice inside Microsoft 365 Copilot may become a bigger enterprise differentiator than many people expect. What caught my attention is not just that Microsoft is expanding available models in Copilot environments. It is the operating implication: organizations are moving toward an AI layer where different models can be matched to different kinds of work, with admin controls, visibility, and clear data-handling boundaries. That matters because enterprise AI is no longer one simple question of “do we have a model?” It is increasingly a question of 𝑤ℎ𝑖𝑐ℎ 𝑚𝑜𝑑𝑒𝑙 𝑠ℎ𝑜𝑢𝑙𝑑 ℎ𝑎𝑛𝑑𝑙𝑒 𝑤ℎ𝑖𝑐ℎ 𝑡𝑎𝑠𝑘, 𝑢𝑛𝑑𝑒𝑟 𝑤ℎ𝑖𝑐ℎ 𝑔𝑜𝑣𝑒𝑟𝑛𝑎𝑛𝑐𝑒 𝑐𝑜𝑛𝑑𝑖𝑡𝑖𝑜𝑛𝑠, 𝑎𝑛𝑑 𝑤𝑖𝑡ℎ 𝑤ℎ𝑎𝑡 𝑡𝑟𝑎𝑑𝑒-𝑜𝑓𝑓 𝑏𝑒𝑡𝑤𝑒𝑒𝑛 𝑠𝑝𝑒𝑒𝑑, 𝑑𝑒𝑝𝑡ℎ, 𝑎𝑛𝑑 𝑟𝑒𝑡𝑒𝑛𝑡𝑖𝑜𝑛 𝑝𝑜𝑠𝑡𝑢𝑟𝑒? In the article, I explore why this shift matters for Microsoft AI solutions: • why model choice is becoming an architectural decision, not just a product feature • how Copilot environments are starting to separate fast everyday work from deeper reasoning work • why admin controls and data-retention signals matter just as much as model quality • and how this could shape the next phase of trusted enterprise AI adoption The next advantage may not come from one model winning outright. It may come from giving organizations a governed way to use the right model for the right job. Do you think enterprise AI will be shaped more by having the best single model, or by orchestrating multiple models well?

Why Work IQ Could Become One of Microsoft’s Most Strategic AI Advantages

Thursday, August 6, 2026 · Maximilian Kenfenheuer

#Microsoft365Copilot #MicrosoftAI #Copilot #AI #EnterpriseAI #CopilotStudio

June 2 may turn out to be one of the more important dates in Microsoft’s enterprise AI roadmap. That is when Microsoft introduced Work IQ APIs—opening up the intelligence layer behind Microsoft 365 Copilot so agents and applications can reason over work context, not just retrieve isolated data. What stands out to me is the architectural implication. If Work IQ becomes the shared context layer across Microsoft 365, then the competitive advantage is no longer only the assistant interface. It is the ability to give agents secure, permission-aware understanding of how work actually happens across files, meetings, chats, mail, sites, and business systems. In the article, I explore why that matters strategically for Microsoft AI solutions: • Work IQ as infrastructure, not just a feature • why semantic context may matter more than another model upgrade • how governance and user-scoped access shape enterprise trust • why this could accelerate a new generation of Microsoft-based agents The next phase of enterprise AI may be defined less by who has a chatbot—and more by who has the best intelligence layer behind it. Do you think the bigger differentiator will be better models, or better organizational context?

Why Microsoft’s App-Native AI in Word, Excel, and PowerPoint Matters

Wednesday, August 5, 2026 · Maximilian Kenfenheuer

#Microsoft365 #Copilot #MicrosoftAI #AI #EnterpriseAI

Word, Excel, and PowerPoint are no longer just places where AI helps you draft faster. They are becoming places where AI can 𝑤𝑜𝑟𝑘 𝑤𝑖𝑡ℎ 𝑦𝑜𝑢 𝑖𝑛𝑠𝑖𝑑𝑒 𝑡ℎ𝑒 𝑑𝑜𝑐𝑢𝑚𝑒𝑛𝑡 𝑖𝑡𝑠𝑒𝑙𝑓. That shift matters more than it may first appear. What stands out in Microsoft’s rollout of agentic capabilities across its core productivity apps is the move from generic assistance toward application-native execution: restructuring content in Word, analyzing and reasoning over data in Excel, and building presentations in PowerPoint with deeper in-app context. To me, this is one of the clearest signals yet of where Microsoft’s AI strategy is heading. The value is not only in having Copilot available across Microsoft 365. It is in embedding specialized AI behavior directly into the environments where work is already being done. In the article, I explore why that matters strategically—and why the next enterprise advantage may come from AI that understands the grammar of each application, not just the user’s prompt. Which will create more value in practice: one general assistant everywhere, or app-specific AI that can operate natively inside the tools people already trust?

Why Microsoft Scout Could Shift Enterprise AI From Prompted Help to Persistent Support

Tuesday, August 4, 2026 · Maximilian Kenfenheuer

#Microsoft365 #Copilot #AI #EnterpriseAI #Microsoft

An always-on agent is a different proposition from an on-demand assistant. What caught my attention in Microsoft’s latest Copilot direction is the move toward a personal agent that stays connected to the user’s flow of work across Microsoft 365, rather than waiting for the next prompt. That is strategically important because the value of AI often disappears in the gaps between moments of interaction. In the article, I explore why Microsoft Scout points to a new design pattern in enterprise AI: less episodic chat, more persistent support; less isolated output, more continuity across tasks, context, and decisions. If this model matures, the advantage may not come only from better responses. It may come from reducing the amount of work people have to remember, re-open, and manually restart. Do you think the bigger opportunity is smarter assistants, or AI that can stay productively present between interactions?

Why In-Chat Apps Could Be One of Microsoft 365 Copilot’s Most Practical AI Advantages

Monday, August 3, 2026 · Maximilian Kenfenheuer

#Microsoft365Copilot #MicrosoftAI #AI #Copilot #EnterpriseAI

Every extra tab in a workflow is a small tax on execution. That is why Microsoft’s move to bring business apps directly into Microsoft 365 Copilot feels more strategic than it may first appear. When tools like Adobe Express, Figma, Miro, monday.com, Box, Optimizely, and Dynamics 365 can surface inside the Copilot conversation, AI stops being just a place to ask questions. It starts becoming a place where work actually gets completed. What stands out to me is the operating model behind this. Instead of generating insight in one window and taking action in another, Microsoft is narrowing the gap between intent and execution. That matters because a lot of enterprise friction is not caused by lack of intelligence. It is caused by context switching, fragmented interfaces, and the repeated effort of re-establishing where the work stands. In the article, I unpack why this in-chat app model could be an important next step for Microsoft’s AI strategy—and why reducing workflow fragmentation may become one of the most practical advantages in enterprise AI. If AI can bring more of your tool stack into one conversational layer, which matters more: better answers, or fewer handoffs?