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Maximilian Kenfenheuer

Manager · Microsoft 365 & AI Transformation @ BearingPoint

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#Microsoft365Copilot #MicrosoftAI #Copilot #AITransformation #FutureOfWork

Measuring Completed Work: Baselines, Assisted Hours and Business Outcomes

Thursday, September 10, 2026 · Maximilian Kenfenheuer

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.

Power BI Grounding: Copilot Reasons Over Semantic Models

Wednesday, September 9, 2026 · Maximilian Kenfenheuer

Since the August 2026 update, Microsoft 365 Copilot reasons over Power BI reports and semantic models in Chat and Cowork. Copilot thus works with governed business definitions: how revenue is defined, how margin is calculated, which KPIs leadership uses and who may see which numbers. At the same time, a poorly defined KPI now spreads faster. In this article, I explain why semantic models become the foundation for trustworthy AI answers and how organizations can prepare their analytics layer.

From Draft to Deliverable: Agentic Copilot in the Core Apps

Saturday, September 5, 2026 · Maximilian Kenfenheuer

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.

Posts tagged #DigitalTransformation

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

Sunday, July 26, 2026 · Maximilian Kenfenheuer

#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.

Leveraging GitHub Copilot in Enterprise Environments: A Strategic IT Approach

Wednesday, September 13, 2023 · Maximilian Kenfenheuer

#MicrosoftCopilot #EnterpriseIT #AIInnovation #DigitalTransformation #CodeEfficiency #AIInSoftwareDevelopment #ErrorMinimization #BusinessStrategy #AdvancedCoding #MachineLearning #Github #StrategicIT #EnterpriseEnvironment #AIaasistant #KnowledgeConsolidation #Scalability #CodingTrends

Microsoft's AI-powered code assistant, GitHub Copilot, developed with GitHub, can boost software development efficiency in enterprise environments, by making intelligent code predictions and reducing errors, although it still needs human oversight for code review processes.

Unleashing New Potentials: Incorporating Generative AI in Enterprise Environments

Wednesday, September 13, 2023 · Maximilian Kenfenheuer

#GenerativeAI #ArtificialIntelligence #AIinBusiness #EnterpriseAI #DigitalTransformation #Innovation #PredictiveAnalytics #AIGovernance #AIEthics #CustomizedCustomerExperience #FutureTech #AIRevolution #AIFuture #EnterpriseDigitalTransformation #AIChallenges

Generative AI, a rapidly emerging aspect of the artificial intelligence field, shows substantial potential for revolutionizing enterprise operations, decision-making, and customer experiences including personalized responses, expediting document creation, and enabling advanced predictive analytics, although its implementation necessitates proper understanding, strategic planning and AI governance.