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The AI Conversation Feels Slightly Off to Me A huge amount of AI conversation today revolves around prompts. Every week there is a new framework, a new “best practices” thread, or another viral example showing how to phrase requests more effectively. After spending the last year building operational AI systems Read more
What is going on You bought the Copilot licenses. Your team has agent ideas. Six months later, nothing is in production. That pattern is showing up everywhere in the mid-market right now. Microsoft is moving fast on Copilot Studio. Organizations are buying ahead of their delivery capability. And the gap Read more
The Problem Starts After the Tool Goes Live A lot of organizations are past the point of asking whether AI matters. The tools are already here. Teams are trying Copilot, ChatGPT, agents, workflow automation, and AI-assisted reporting. On paper, that looks like momentum. But usage is not the same thing as adoption, and this Read more
What Makes a Good First Agent Use Case The most common thing I hear when organizations start talking about AI agents is some version of this: we know we should be doing something here, but we do not know where to start. Candidly, that is a reasonable place to be. Read more
The Problem Starts Before Copilot Ever Answers a Question There are a lot of potential use cases for Microsoft 365 Copilot. Some are more advanced. Some move into deeper agentic solutions. But for many organizations, the most attainable starting point is much simpler: helping people use Copilot in the day-to-day Read more
Turning Scattered Client Knowledge Into a Working Advantage Most organizations already have the information they need to work faster and make better decisions. The problem is that the information is scattered across emails, meetings, documents, tickets, spreadsheets, chats, and half-remembered project history. That creates a familiar issue. Teams spend too Read more
Automation and Agents Are Not the Same Thing Most people use the words “AI agent” and “automation” as if they mean the same thing. They do not. That distinction matters when you are trying to put something into production that actually works. An automation follows a fixed path. You define Read more
Moving Fast Without Building Risk If Storm’s article Beyond the Vibe: Why Your Enterprise AI Isn’t Saving You Money (Yet) asked why so many AI pilots fail to create measurable value. Here we ask a different but related question: how do teams move faster with AI without creating delivery risk Read more
Starting With a Practical Use Case, Not an AI Demo I’ve been investigating Dataverse MCP servers and where they actually fit inside real Power Platform work. There is a lot of hype around AI agents right now. Some of it is useful. Some of it is noise. My concern is Read more