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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 #Microsoft

Why Human Agency May Be the Most Important Microsoft AI Story Right Now

Wednesday, August 12, 2026 · Maximilian Kenfenheuer

#Microsoft #Microsoft365Copilot #AI #GenerativeAI #EnterpriseAI #DigitalTransformation

66% of AI users surveyed by Microsoft say AI is helping them spend more time on higher-value work. That number matters because it shifts the enterprise AI conversation away from simple productivity gains and toward something more strategic: human agency. Microsoft’s recent framing around Microsoft 365 Copilot highlights a point I think many organizations are only starting to absorb. As AI takes on more execution, the differentiator is not just automation. It is whether people are equipped to direct, evaluate, and improve that work with better judgment. In the article, I explore why this matters for Microsoft AI solutions: • why agency may become a more useful leadership lens than efficiency alone • how Copilot changes the shape of knowledge work when more people can do higher-value tasks • why management systems and culture may matter more than individual prompting skill • and what organizations should do now to turn AI capability into durable business value The next phase of AI adoption may reward the companies that redesign work around human judgment, not just machine output. How are you thinking about this in your organization: is the bigger opportunity cost reduction, or expanding what your people can actually take ownership of?