Don't Make an LLM Find Your At-Risk Customers. Make It Explain Them.

The tempting move is to hand an LLM your customer data and ask which accounts are about to churn. That's the expensive, unreliable way to do the one thing classic ML is great at. I built the whole pipeline on a real 1M-row e-commerce dataset: a one-line SQL rule already catches 75% of churners in the top-flagged 20%, gradient boosting nudges it up — and the LLM's only job is to explain and route…