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Stories, Journeys, and Ideas for the crazy ones.

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.

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Azure Local, Foundry Local, and Microsoft 365 Local: A Comprehensive Guide for IT Architects and Decision-Makers

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.

Azure Local, Foundry Local, and Microsoft 365 Local: A Comprehensive Guide for IT Architects and Decision-Makers

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.

Practical Guideline: How to Move Agents Beyond POCs and Deliver Real Enterprise Value

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: Why Microsoft's New License Is a Logical Step for Agent‑Driven Enterprises

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.

Introducing MATE: A Modular Testing Environment for 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.

Testing Copilot Studio Agents: Copilot Studio Kit vs. Agent Evaluation (Preview)

Choosing the right testing tool for your Copilot Studio agents: A detailed comparison of Copilot Studio Kit and Agent Evaluation (preview) to help you decide when to use each tool for optimal agent quality.

Microsoft Frontier Agents: A Deep Technical Overview

An in-depth exploration of Microsoft Frontier Agents, their architecture, capabilities, and impact on enterprise AI transformation.

Hello, I’m Holger

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.

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