The AI Worked Perfectly. That Was the Problem.

Engineering the Intelligent Enterprise · Mar 4, 2026 · 39m

We spent 11 weeks building a credit scoring model that was confidently wrong.

Not because the architecture failed — because 40% of the training labels were garbage nobody had touched since 2019.

Performing loans tagged as defaults.

Defaults hiding under "restructured."

Clean dashboards, zero error messages, and money quietly bleeding out for months.

In this episode:

— What actually went wrong and how long it took anyone to notice

— The mango-labeled-"apple" problem with ML training

— Why bad data doesn't crash your system — it just lies to you politely

— The 3-week data rebuild that took…