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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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Latest posts

30 Million Copilot Seats: From AI Deployed to Work Transformed

#Microsoft365Copilot #MicrosoftAI #AITransformation #EnterpriseAI #Copilot #FutureOfWork

Microsoft 365 Copilot has passed 30 million paid seats. Weekly engagement is now on par with Outlook and Teams, and analysis accounts for 49 % of all tasks once multi-step workflows are counted. Microsoft now frames the next phase around "work transformed" instead of "AI deployed". Seat counts show adoption. They do not show whether work actually runs differently. In this article, I explain what the new figures reveal about how Copilot is used and which organizational questions follow from them.

Human Agency and the Work Trend Index: The Organization Sets the Limit

#Microsoft365Copilot #MicrosoftAI #EnterpriseAI #AITransformation #FutureOfWork

Microsoft frames the next phase of AI at work around human agency: agents take over more execution, and people direct outcomes and priorities. The 2026 Work Trend Index supports this with data. 58 % of AI users produce work they could not have produced a year ago. Organizational factors explain 67 % of the reported AI impact, individual factors only 32 %. Only one in four AI users sees leadership aligned on AI. In this article, I explain why the organization, not the model, increasingly limits AI value, and which management questions leaders have to answer.

The Copilot Redesign: Speed, Structure and Progressive Disclosure

#Microsoft365Copilot #MicrosoftAI #EnterpriseAI #Copilot #DigitalWorkplace

On May 28, Microsoft introduced a new design for Microsoft 365 Copilot. According to reports, it loads twice as fast, delivers more structured responses and shows tools only when the prompt requires them. That sounds like a routine refresh. In enterprise deployments, however, adoption often depends on exactly these details: how fast the assistant responds, how clearly it presents results and how much it demands from the user. In this article, I explain why interface design becomes part of the adoption strategy and of governance.

Copilot Cowork: Delegating Multi-Step Work in Microsoft 365

#Microsoft365 #Copilot #AI #EnterpriseAI #Microsoft

The first phase of enterprise AI was session-based: the user asks, the system answers, and the user carries the work forward. Copilot Cowork takes over multi-step work. It builds a plan from a desired outcome, uses email, meetings, files and data from Microsoft 365, works in the background and asks for approval at checkpoints. Admins control billing, plugins, browser use and audit logs. In this article, I explain why this execution layer changes how organizations should measure AI value.

Copilot Search: Finding Context Before Acting on It

#Microsoft365 #Copilot #AI #EnterpriseAI #MicrosoftAI

Before employees write, analyze or decide, they usually search: for the current deck, the right spreadsheet or the meeting in which a decision fell. Copilot Search answers natural-language questions across Microsoft 365 and connected systems such as ServiceNow, Google Drive, Confluence and Jira. It hands over to Copilot Chat for deeper work, and admins can curate answers for acronyms, bookmarks and people. In this article, I explain why search may drive Copilot adoption more than the next model upgrade.