Mortgage OCR system hits 100% final accuracy

This is a workflow win more than an OCR win: the moat is vertical document logic plus exception handling, not a magical extraction model.

• –Generic OCR stalls on mortgage packages because Form 1003s, W-2s, pay stubs, bank statements, and tax returns need different parsing and validation rules.
• –Routing only low-confidence fields to reviewers keeps the 4% review burden small while still landing at clean final output.
• –Traceability, confidence logs, and override history are the real compliance story in lending, where auditability matters as much as raw accuracy.
• –VPC/on-prem deployment and SOC 2/GLBA-aligned controls make this plausible for regulated financial teams.
• –The biggest value is throughput: cutting file handling from 24-48 hours to minutes changes ops capacity more than squeezing out a few extra accuracy points.