AI Adoption & Readiness

• ARTICLE

  Your CRM Is Not Broken. Your Workflow Is.

  Most CRMs do not fail because the software is bad. They fail because updating the CRM is treated as a second job after the real work. If the system of record is not built into intake, routing, handoffs, and follow-up, the data will rot.

• ARTICLE

  The Automation Gap

  I wanted to test whether AI could break a golden rule of operations — that you can't scale a mess. So I built a simulation: same orders, same model, four versions of the same delivery company, varying only the cleanliness of inputs and whether a human or AI was making the calls. The condition where AI met chaos performed worse than chaos alone.

• NOTE

  Tech Moves Exponentially. Operations Move Linearly. The Gap Is Where Value Lives.

  Frontier models double in useful capability every 6 to 12 months. Operations don't move at that speed and never will. The gap is where the next decade of value lives.

• NOTE

  Local Models Just Caught Up. The Industries That Couldn't Use AI Yesterday Can Use It Today.

  Regulated operators kept stalling at the same point: the data can't leave the building. With Gemma 4, that excuse is gone. The model can live inside your network and run against your data without any of it leaving.

• ARTICLE

  Why AI Implementations Fail

  The technology works. The implementations fail. Both are true. Here's the structural failure pattern, why operators keep walking into it, and the four-question diagnostic that separates workflows that are ready for automation from ones that aren't.