Microsoft Copilot Cowork in Practice
What I have learned running Copilot Cowork in real tenants: how to enable it (including the EU data-boundary decision), what the skills actually do, where the limits bite, and what is coming.
Notes from the trenches of real projects. What worked, what didn't, and why — no marketing spin.
What I have learned running Copilot Cowork in real tenants: how to enable it (including the EU data-boundary decision), what the skills actually do, where the limits bite, and what is coming.
A practitioner's reference for Power Platform core, Copilot Studio, Dataverse, Dynamics 365 Contact Center, and Dynamics 365 Customer Service.
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A comprehensive guide to transitioning your conversational agents from the simplified Agent Builder within Microsoft 365 Copilot to the full-featured Copilot Studio environment, unlocking advanced capabilities for enterprise-scale AI solutions.
Building production-ready conversational agents in Microsoft Copilot Studio requires mastering a critical architectural principle: the LLM handles the words, Power Fx handles the computation.
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High-volume inbound channels — emails, chats, and calls — drain service and sales teams when most queries are routine. A multi-agent system in Microsoft Copilot Studio can autonomously handle product lookups, quote generation, troubleshooting, and recruiting guidance, escalating only the exceptions to human reps. This article shows you how to architect, deploy, and govern specialized agents that integrate with Dynamics 365 Customer Service and Sales, cutting response times and freeing your teams for high-value work.
Microsoft MVP & MCT | Low Code Hacker | Copilot, Copilot Studio, Power Platform & Azure Architect
I’m a Microsoft MVP focused on agentic AI, intelligent agents, and enterprise AI solutions. Using Microsoft Copilot Studio and Azure AI Foundry, I design and build systems that help people and organizations work smarter. This blog is a collection of field notes, practical insights, and real-world experiences—from architecture and orchestration patterns to lessons learned along the way. Your feedback is always welcome—let’s continue the conversation.