Building a Denial-Prediction Pipeline on 835/837 Claims Data

If you are the engineer scoped to "add AI to denial management," the request usually arrives as a workflow ticket and turns out to be three distinct ML systems: a pre-submission scoring service, a remittance classifier, and a document-assembly pipeline for appeals. This post is about how those pieces actually fit together on top of the claims data you already have, and where the engineering effort really goes. Start with why this is an ML problem and not a rules problem. A rules engine handles…