AI & automation

This collection examines AI around intake and document handling, rather than presenting automated credit decisions as a default. The central questions are concrete: what task does the system perform, which source supports its output, who checks it, and what happens when it is wrong?

Start with the human-review article to define a bounded use case and a testable result. Pair it with the AI lending form topic guide for a concise map of assistance roles. Teams considering document extraction should also read the document workflow guidance before selecting technology. Model output, reviewer corrections, and applicant-provided information should remain distinguishable. These resources do not endorse a provider or promise that adding an AI feature makes a process compliant.