AI Diagnostics

“Diagnose before you retrain. The most expensive fix in AI is the one that solves the wrong problem.”

This framework combines three proven methodologies into a sequential diagnostic process for AI model performance issues. It is designed for AI leaders, transformation advisors, and program managers who need to diagnose problems without being data scientists.

Use this framework every time someone says “the model is wrong” — before agreeing to any fix.

“In enterprise AI the model is rarely the problem. The system around it almost always is.”

A customer rep promised a discount. It was the right discount. The model said so. The problem — the policy had changed three days earlier. The model didn’t know.

The customer was already engaged. The promise was already made. The rep couldn’t honor it. The customer was furious.

When I was brought in, the team’s instinct was to retrain the model. Expensive. Time-consuming. And in this case — completely wrong diagnosis.