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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 #EnterpriseAI

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.

Multi-Agent Orchestration with Fabric, the Agents SDK and A2A

#MicrosoftAI #Microsoft365Copilot #CopilotStudio #AI #EnterpriseAI

Enterprise processes rarely fit into a single agent. One retrieves information, another analyzes data, a third drafts content in Microsoft 365, a fourth triggers an action. Copilot Studio now supports multi-agent orchestration with Microsoft Fabric, the Microsoft 365 Agents SDK and Agent-to-Agent (A2A) communication via open protocols. In this article, I explain why specialized agents scale better than one monolithic agent and which governance questions arise when agents delegate work to each other.

Ten Generic Tools: The Work IQ MCP Server and Agent Architecture

#Microsoft365Copilot #MicrosoftAI #CopilotStudio #AI #EnterpriseAI

The Work IQ API endpoints reach general availability on June 16. Work IQ combines Chat, Context, Tools and Workspaces and turns intelligence into a reusable service layer for agents. One design choice stands out: the Work IQ MCP server reduces hundreds of operations to 10 generic tools, and getSchema lets agents discover data structures dynamically. Usage is independent of Copilot licensing and billed on consumption. In this article, I explain what this architecture means for consistency, speed and governance of custom agents.

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.

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.