Notes from real projects. What worked, what didn't, and why — no marketing spin.
Copilot Studio now has three harnesses, and the new Customer Conversation harness is built for voice and chat with customers. What it means for architecture, memory, biometrics, escalation, cost, and governance.
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.
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.
A practitioner's reference for Power Platform core, Copilot Studio, Dataverse, Dynamics 365 Contact Center, and Dynamics 365 Customer Service.
Autonomous agents transform enterprise automation by combining AI-driven intelligence with real-time adaptability. Unlike traditional automation, these systems can perceive, decide, and act independently, continuously learning from data to optimize processes. This article explores how technologies like Microsoft's Copilot Studio are leading this evolution and why implementing autonomous agents is becoming a strategic imperative for forward-thinking organizations.
A comprehensive analysis of agentic AI and Microsoft's autonomous agents, exploring their unique features, use cases, and technological underpinnings.
Learn how to effectively capture and analyze telemetry data in Microsoft Copilot Studio using Azure Application Insights.
Microsoft Copilot Studio's new deep reasoning models significantly advance AI agent capabilities, enabling complex problem-solving, logical analysis, and multi-step decision-making. This feature empowers organizations to build virtual agents that can analyze unstructured data, make contextual recommendations, and support sophisticated business processes—all while maintaining accuracy and thoughtful analysis. Learn how deep reasoning models are transforming AI agents from simple Q&A tools into powerful decision-support systems for business intelligence, operations, education, and customer support.
Learn how to build conversational AI applications using Microsoft Fabric Data Agents and Azure AI Agents.
Agent flows are a powerful way to automate repetitive tasks and integrate your apps and services. These intelligent automation workflows can be triggered manually, by other automated events or agents, or based on a schedule, providing flexible options for process automation. By leveraging agent flows, organizations can streamline operations, reduce manual intervention, and ensure consistent execution of business processes.
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.
