Case Study: Largest Retail Bank Achieves Faster Mortgage Processing with Instabase

Automating mortgage processing requires understanding highly complex customer documents, without disrupting existing processes

Largest Retail Bank, one of America’s largest retail banks, needed to speed up a slow mortgage application process that relied on manual review of highly variable customer documents. The bank’s teams were processing huge loan packets, classifying and transcribing income and expense evidence from hundreds of document types, which created delays, customer friction, and compliance pressure.

Instabase helped automate the end-to-end mortgage document workflow using OCR, natural language processing, and computer vision to digitize, classify, split, and understand documents at scale. With Instabase, the bank built 100+ applications to handle more than 500 document types, routed uncertain cases to human reviewers, and processed about 1.4 million pages per month, driving significant efficiency gains and forecasted operational savings of $4.8 million over three years.