Case Studies From documents to decisions

From documents to decisions

March 2026 | Document AI

The Client — The same regional mortgage lender, processing a steady flow of borrower documentation for every loan file it opens.

The Situation — Borrowers submit pay stubs, tax returns, bank statements, and IDs in every format imaginable. Before underwriting could begin, staff downloaded, renamed, sorted, and checked each document by hand.

The Challenge — That manual sort was slow, inconsistent, and easy to get wrong — and it only grew heavier as volume rose. Underwriters were left waiting on administrative work before they could begin evaluating a single file.

What We Did — We built a document-processing system that ingests every file, identifies what each document is, extracts the details that matter, and checks for anything missing.

It then assembles a clean, labeled, review-ready package for the underwriter — and it runs continuously, so files are prepared around the clock. The system was rolled out in phases over six weeks.

The Results — Manual document review dropped by roughly 80%. Review-ready files are now produced in minutes, 24/7, with fewer errors and far less back-and-forth. Underwriting begins with a finished file rather than a full inbox.