Contact Center Intelligence one month in: what to prepare before the GA dates
Reflections on Contact Center Intelligence one month after the preview, and what architects should prepare before the general availability dates.
Where Curiosity Meets Practice
Notes from real projects. What worked, what didn't, and why — no marketing spin.
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Agent FinOps in the Microsoft Ecosystem - Rev2
A living article on Copilot and agent costs. Where Copilot, Cowork, Copilot Studio, and Foundry agents show their costs, which controls actually stop spending, how to charge costs back, and what Microsoft has changed recently.
Written by
Holger Imbery
Understanding Microsoft Copilot Licensing - Rev2
A living article on what Copilot costs. What the Copilot license costs, how Copilot Credits work, which features use them, and what Microsoft has announced next.
Written by
Holger Imbery
Understanding Microsoft Power Platform Licensing Rev.7
A practitioner's reference for Power Platform core, Copilot Studio, Dataverse, Dynamics 365 Contact Center, and Dynamics 365 Customer Service.
Written by
Holger Imbery
Ship Copilot Studio Agents with Confidence: Master Automated Testing with the Copilot Studio Kit
Master automated testing for Copilot Studio agents with the Copilot Studio Kit. Learn Phase-4 testing practices, multi-turn validation, compliance checks, and how to integrate tests into Power Platform pipelines for enterprise-grade deployments.
Written by
Holger Imbery
Migrating from Agent Builder (Copilot Studio Lite) to Copilot Studio
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.
Written by
Holger Imbery
Power Fx in Copilot Studio - The Computational Backbone of Enterprise Agents
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.
Building Intelligent, Agentic Applications in VS Code - A Technical Deep Dive into the AI Toolkit Extension Pack
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#.
Written by
Holger Imbery
Designing a Multi-Agent System in Copilot Studio for Dynamics 365 Customer Service & Sales
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.
Written by
Holger Imbery
Copilot Studio Multi‑Agent Orchestration - Embedded Agents, Connected Agents, and MCP—Architecture, Advantages, and Implementation Patterns
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.
Written by
Holger Imbery
Hello, I’m Holger
I connect enterprise AI architecture with practical implementation, and share what I learn along the way.
I’m a Principal Architect at NTT DATA, Microsoft MVP and Microsoft Certified Trainer (MCT), based in Berlin. My work focuses on agentic AI, intelligent automation, and the Microsoft ecosystem. I help organizations move from promising demonstrations to secure, scalable, well-governed solutions. That means connecting technology choices with business processes, enterprise data, operational ownership, and measurable outcomes.