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This Is Not an AI Problem: The Readiness Gap Nobody Talks About
In the last article, I covered how agents layer together in a Microsoft architecture – retrieval, task, automation, and the optional orchestration layer that sits above. The architecture makes sense. The technology exists. The use case is clear. And yet this is exactly the point where most Microsoft AI projects quietly begin to fail. Not…
From Capabilities to Architecture: Understanding Agent Types in Microsoft Copilot Studio
In the last article, I covered the three AI capabilities in the Microsoft ecosystem – M365 Copilot, Copilot Studio, and AI Builder and how to match each one to the right type of problem. If you landed on Copilot Studio, the next question tends to come quickly. What kind of agent should I actually build?…
From Problems to Capabilities: Choosing the Right AI Approach in the Microsoft Ecosystem
In the first article of this series, I focused on something that often gets skipped in AI conversations: understanding where work actually breaks. Slow handovers.The same questions being asked again and again.Manual coordination no one really owns.Knowledge sitting in people’s heads instead of systems. Once you start noticing these patterns, the next question usually comes…

