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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 #DigitalTransformation

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.

Copilot Tasks: AI That Works in the Background and Asks Before Acting

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

With Copilot Tasks, AI works in the background with its own browser, runs tasks once, on a schedule or recurring, and reports back when the work is done. Before sending messages or spending money, it asks for consent. Tasks starts as a research preview. The signal for enterprises is clear: users will soon expect AI to do things, not only to describe them. In this article, I explain which tasks suit this execution model, where approval boundaries belong and how to measure success.

The Copilot Interface as a Governance Surface

#Microsoft365 #MicrosoftCopilot #AI #EnterpriseAI #MicrosoftAI #DigitalTransformation

With the May update, Microsoft redesigned how Copilot appears across Microsoft 365. As Copilot takes on more actions, the interface has to show what the AI does, which context it uses and what requires human review. The interface thus becomes a governance surface as well as a productivity surface. In this article, I explain why workflow fit belongs in adoption planning and why change management should target concrete moments of work instead of features.

Capability Expansion with Copilot: Judgment Gains Value

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

According to Microsoft's Work Trend Index, 66 % of AI users spend more time on high-value work, and 58 % produce work they could not have produced a year ago. For organizations, the question therefore shifts from task acceleration to capability expansion. AI takes over more execution. People set the intent, judge quality and decide what happens next. In this article, I explain why this model needs different metrics, workflows and management, and why judgment gains value as execution gets easier.

In-Chat App Execution: Shortening the Path from Answer to Action

#Microsoft365Copilot #AI #EnterpriseAI #Microsoft #Copilot #DigitalTransformation

AI now produces answers quickly. Finishing the actual work still means leaving the chat, opening another application and rebuilding context. Microsoft's April update for Microsoft 365 Copilot targets this gap. Agents connected to Adobe Express, Figma, Miro, monday.com, Box or Dynamics now appear directly in the Copilot conversation. Users can act there instead of switching tabs. In this article, I explain why this orchestration layer may matter more to enterprises than further gains in answer quality, and which governance questions IT has to settle first.