Notes from the trenches of real projects. What worked, what didn't, and why — no marketing spin.
Microsoft's October 15, 2026 announcement gives Copilot Studio agents their own accounts, shared business process memory, and triggers. I argue that organizations should treat each agent like a service account with a job description and decide early which agents they want to own.
Part two of a short, living series on Copilot and agent costs. Where Microsoft 365 Copilot services, Copilot Studio, and Foundry agents show their costs, which controls stop spending, and how to build chargeback across three admin experiences.
Part one of a short, but living series on what Copilot and agents cost. What the Copilot license costs, how Copilot Credits work, which features use them, and what Microsoft has announced next.
A practitioner's reference for Power Platform core, Copilot Studio, Dataverse, Dynamics 365 Contact Center, and Dynamics 365 Customer Service.
A practical architecture and implementation guide for deploying AI agents on-premises using Azure Local, Foundry Local, and Microsoft Agent Framework.
On March 31, 2026, Microsoft launched Agent Evaluation in general availability, fundamentally changing how teams validate Copilot agents. This guide explains how Agent Evaluation and the Copilot Studio Kit serve different—but complementary—roles in your quality assurance strategy, and when to use each one.
Azure Local is Microsoft's distributed infrastructure solution that extends Azure capabilities to customer-owned environments. This article provides a comprehensive overview of Azure Local, Foundry Local, and Microsoft 365 Local, their use cases, deployment options, and best practices for IT architects and decision-makers considering on-premises Azure solutions. With an appendix on agentic AI use cases on Azure Local and Foundry Local.
Discover ten core principles to transition AI agents from ideation to measurable business impact, including anchoring in real processes, maintaining scope discipline, integrating with live input channels, enforcing production-grade behavior, and planning for long-term flexibility.
Microsoft 365 E7, announced in March 2026, represents a strategic evolution of Microsoft's enterprise licensing to accommodate the rise of AI agents. This article explores what E7 includes, why it was created, and how it benefits organizations leveraging AI agents.
As AI agents become integral to business processes, reliable and repeatable testing is essential for confidence in deployment. This article introduces the Multi-Agent Test Environment (MATE) – an enterprise-grade framework for automated testing of AI agents across platforms and frameworks – and explains how its modular design addresses key challenges in agent testing. We explore why testing AI agents is critical, delve into MATE's architecture and features, compare MATE with alternative testing approaches, and outline MATE's roadmap, including red-team testing, enhanced cloud deployment, and support for emerging agent frameworks.
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.
