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*** Most of you know my take on AI. Business outcome first → Mapped to the workflow → Mapped to the #1 constraint → Then AI. This week, I’m going to use an example of what this looks like inside a real business to drive the point home. Better Coffee, an equipment servicing business out of Ottawa. Two questions came before any tool. The first one is strategic. Where is this business going, and what has to be true for it to get there? Otto and Josiah at Better Coffee answered t

**** Most leaders I talk to are approaching AI in the wrong order. Tools first, problem second. It's why most of it doesn't stick. I recorded a 1 min 33 second video on what the right order actually looks like, using a real business’s story. A contracting company that found its constraint first, mapped the workflow, and then pointed AI at it. What came out the other side: 600 hours saved, conversions up 17%, the business doubled in revenue in 6 months. Worth a few minutes of

**** Last week, we shared the #1 takeaway from the 346 participants who submitted reviews about our AI in the Workplace training days: Prompting. Specifically, the RICCE Framework, a simple structure for getting dramatically better results from any AI tool. (If you missed it, it’s worth going back to read.) This week: the takeaway that changed how people think about their relationship with AI entirely. Before we get to the rule, let’s talk about the question that was in the

**** 346 business leaders left reviews of our AI in the Workplace training sessions over the last 3.5 months. We asked every single one of them the same question: What were your top 1–3 takeaways? 18 sessions. An average rating of 4.75 out of 5. And a mountain of data sitting there, waiting to tell us something. So I did what any self-respecting AI advocate would do — I fed all of the feedback through Gemini to pull out the three most common takeaways across all 346+ particip