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Maximilian Kenfenheuer

Manager @ BearingPoint

Maximilian Kenfenheuer

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#MicrosoftAI #Microsoft365Copilot #Copilot #AI #EnterpriseAI

Why Copilot Cowork Matters: Microsoft’s Shift from AI Assistance to AI Execution

Thursday, August 13, 2026 · Maximilian Kenfenheuer

30 million paid seats is an adoption milestone. But the more interesting signal is 𝑤ℎ𝑎𝑡 𝑀𝑖𝑐𝑟𝑜𝑠𝑜𝑓𝑡 𝑖𝑠 𝑡𝑟𝑦𝑖𝑛𝑔 𝑡𝑜 𝑠𝑐𝑎𝑙𝑒 𝑛𝑒𝑥𝑡. With Copilot Cowork now generally available, Microsoft is pushing beyond AI as a responsive assistant and toward AI as an execution layer for longer-running, multi-step work. That changes the enterprise conversation. This is not just about getting better answers in chat. It is about delegating work across skills, plugins, files, business apps, scheduled tasks, and even event-driven triggers—while keeping the user in control. In the article, I explore why that matters for Microsoft AI solutions: • why Cowork represents a shift from prompt-response AI to managed execution • how integration across Microsoft 365, Edge, plugins, and business systems changes the operating model • why usage-based billing and governance controls matter strategically, not just technically • and what organizations should think about now if they want agentic AI to create real business value The next phase of enterprise AI may be defined less by who can generate the best response, and more by who can orchestrate work most effectively. How are you thinking about this shift: is the bigger opportunity still AI assistance, or AI that can carry work forward across steps and systems?

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

Wednesday, August 12, 2026 · Maximilian Kenfenheuer

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?

Why Copilot Tuning Could Become a Strategic Advantage in Enterprise AI

Monday, August 10, 2026 · Maximilian Kenfenheuer

One of the more important Microsoft AI signals this year is not another model release. It is the move toward 𝑡𝑢𝑛𝑖𝑛𝑔 AI around how a specific organization actually works. Microsoft’s announcement of Microsoft 365 Copilot Tuning and multi-agent orchestration points to a meaningful shift for enterprise AI. The question is no longer only whether AI can help with generic tasks. It is whether organizations can shape agents around their own language, processes, compliance boundaries, and domain expertise—without turning every project into a custom AI engineering effort. That matters because scalable value rarely comes from generic capability alone. It comes from making AI behave in ways that fit the business. In the article, I explore why this is strategically important for Microsoft AI solutions: • why tuning may become a practical bridge between foundation models and real enterprise workflows • how low-code customization changes the adoption equation • why multi-agent orchestration matters when work crosses functions, not just prompts • and why the next differentiator may be organizational fit, not just raw model power If enterprise AI is going to create durable value, it needs to reflect how the organization operates—not just what the model can do in general. Do you think the bigger long-term advantage will come from stronger general models, or from AI that can be tuned to the way each business actually works?

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Why Copilot Cowork Matters: Microsoft’s Shift from AI Assistance to AI Execution

Thursday, August 13, 2026 · Maximilian Kenfenheuer

#MicrosoftAI #Microsoft365Copilot #Copilot #AI #EnterpriseAI

30 million paid seats is an adoption milestone. But the more interesting signal is 𝑤ℎ𝑎𝑡 𝑀𝑖𝑐𝑟𝑜𝑠𝑜𝑓𝑡 𝑖𝑠 𝑡𝑟𝑦𝑖𝑛𝑔 𝑡𝑜 𝑠𝑐𝑎𝑙𝑒 𝑛𝑒𝑥𝑡. With Copilot Cowork now generally available, Microsoft is pushing beyond AI as a responsive assistant and toward AI as an execution layer for longer-running, multi-step work. That changes the enterprise conversation. This is not just about getting better answers in chat. It is about delegating work across skills, plugins, files, business apps, scheduled tasks, and even event-driven triggers—while keeping the user in control. In the article, I explore why that matters for Microsoft AI solutions: • why Cowork represents a shift from prompt-response AI to managed execution • how integration across Microsoft 365, Edge, plugins, and business systems changes the operating model • why usage-based billing and governance controls matter strategically, not just technically • and what organizations should think about now if they want agentic AI to create real business value The next phase of enterprise AI may be defined less by who can generate the best response, and more by who can orchestrate work most effectively. How are you thinking about this shift: is the bigger opportunity still AI assistance, or AI that can carry work forward across steps and systems?