Almost every mid-market company is using AI. Only two percent have made it a working part of the business.

This episode explores the gap between those two facts. You will hear about the controller who looked like a genius by lunch and created a data breach doing it; why an AI pilot that works beautifully on one desk falls apart the moment the whole company uses it; and why the average first AI project costs $94,000 against a budget of $30,000.

You will also hear the discipline the successful two percent share: clean data, real governance, and one narrow workflow proved out before anything scales.

The analysts close with a hard question: "When an autonomous agent makes a costly mistake, who is responsible?"

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