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Maximilian Kenfenheuer

Manager · Microsoft 365 & AI Transformation @ BearingPoint

Maximilian Kenfenheuer

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Measuring Completed Work: Baselines, Assisted Hours and Business Outcomes

A team can generate thousands of prompts without improving a single core process. Another uses AI rarely but saves hours in contract review. Microsoft increasingly measures Copilot value by completed work and assisted hours instead of activity. Its internal guidance recommends baselines for painful processes before the rollout. In this article, I describe a three-layer measurement model of adoption signals, time and effort indicators and business outcomes, and explain why role-based deployment makes value measurable.

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Posts tagged #Copilot

Measuring Completed Work: Baselines, Assisted Hours and Business Outcomes

#Microsoft365Copilot #MicrosoftAI #Copilot #AITransformation #FutureOfWork

A team can generate thousands of prompts without improving a single core process. Another uses AI rarely but saves hours in contract review. Microsoft increasingly measures Copilot value by completed work and assisted hours instead of activity. Its internal guidance recommends baselines for painful processes before the rollout. In this article, I describe a three-layer measurement model of adoption signals, time and effort indicators and business outcomes, and explain why role-based deployment makes value measurable.

From Draft to Deliverable: Agentic Copilot in the Core Apps

#Microsoft365Copilot #MicrosoftAI #AI #Copilot #EnterpriseAI

On April 22, Microsoft made agentic capabilities in Word, Excel and PowerPoint generally available and brought business apps into Copilot via agents. AI moves to where proposals are written, financial models built and board decks assembled. At the same time, human judgment gains weight: a polished deck is not automatically a sound strategy, and a well-structured spreadsheet is not automatically a correct model. In this article, I explain what changes when AI participates in the work and which five readiness questions organizations should answer.

Microsoft Scout and Persistent AI: Identity and Device Management as Prerequisites

#MicrosoftAI #Microsoft365Copilot #Copilot #AI #EnterpriseAI #AgenticAI #DigitalTransformation

Many governance models were built for chat usage. Microsoft Scout, an always-on personal Autopilot agent across Teams, Outlook, OneDrive and SharePoint, requires more: admin enablement, Intune policy configuration and attestation, because parts of the preview involve data flows outside Microsoft 365. Identity and device management thus become part of AI readiness. In this article, I explain what distinguishes persistent from interactive AI and which four questions organizations should answer before the rollout.

Twice as Fast, Higher Usage: What the New Copilot App Changes

#Microsoft365Copilot #MicrosoftAI #Copilot #AIAdoption #EnterpriseAI

The redesigned Copilot app loads more than twice as fast, and complex chat prompts respond 10 % faster. After the rollout of the new in-app experiences, Microsoft reports higher usage: 27 % in Word, 33 % in Excel, 43 % in PowerPoint and 30 % in Outlook. The prompt line turns into a task-aware workspace, and the output itself becomes part of the interface. In this article, I explain why experience design influences Copilot adoption as much as the model and what organizations should derive from it.

Evaluating Models Instead of Benchmarks: Model Choice in Copilot

#Microsoft365Copilot #MicrosoftAI #AI #Copilot #EnterpriseAI

Microsoft 365 Copilot now offers more models, including Anthropic models and new frontier reasoning options for agentic work. A sales summary, a policy review and a multi-step agent workflow place different demands on a model. Enterprises do not want endless model sprawl. They want controlled choice inside a governed platform. In this article, I explain why structured evaluation matters more than benchmark narratives and how organizations can group use cases for their model strategy.