Join me on a journey where every post brings a fresh perspective. This blog is for those who are driven by curiosity and a desire to learn.
A practitioner's reference for Power Platform core, Copilot Studio, Dataverse, Dynamics 365 Contact Center, and Dynamics 365 Customer Service.
Part 2 of a two-part guide to managing and securing Power Platform environments within Microsoft 365 — Copilot Studio governance, agent authentication, ALM and pipelines, solution checker, licensing, and change management.
Part 1 of a two-part guide to managing and securing Power Platform environments within Microsoft 365 — environment strategy, the default environment, Managed Environments, environment groups, DLP, tenant isolation, identity, and monitoring.
Microsoft Agent 365 reached general availability on 1 May 2026. Here is what the service is, why it matters for organizations already using Microsoft 365 Copilot, what changes operationally, and how to take the first steps after acquiring a license.
Microsoft's new 'IQ' layers - Work IQ, Fabric IQ, and Foundry IQ - provide AI agents with deep organizational context across work, data, and knowledge domains. Here's what they are, why they matter for enterprise AI, and how developers can use them to build smarter agents.
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.
Explore how the Visual Studio Code AI Toolkit Extension Pack enables seamless development of intelligent, agentic applications from local prototyping to cloud deployment with Microsoft Foundry. This article provides a technical deep dive into model selection, agent orchestration, MCP tool integration, evaluation pipelines, and runtime tracing, complete with YAML-to-code examples in Python and C#.
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.
Explore how Microsoft Copilot Studio's multi-agent orchestration enables specialized agents to collaborate across systems using embedded agents, connected agents, and the Model Context Protocol (MCP). Learn architectural trade-offs, governance implications, and practical implementation patterns to scale your agent ecosystem effectively.
Learn how to leverage Model Context Protocol (MCP) to connect AI agents with Dynamics 365 Sales for automated lead prioritization, improving sales efficiency, and pipeline quality.
Microsoft MVP & MCT | Low Code Hacker | Copilot, Copilot Studio, Power Platform & Azure Architect
I’m a Microsoft MVP, specializing in agentic AI, autonomous systems, and the Microsoft Power Platform—with a focus on Copilot Studio and Azure AI Services. This blog provides practical insights and real-world approaches to building secure, scalable, and responsible AI solutions. Your feedback is always welcome—let’s start the conversation.
