Case Study
40% Faster Closing: Intelligent Underwriting & IDP for a National Lender
Focus: End-to-end operational efficiency, risk reduction, and faster time-to-close.
Section
Details
Key Results
About
Custom AI Underwriting Models & Intelligent Document Processing (IDP)
40% Reduction in average time-to close (TTC)
Challenge
The client, a top 50 national lender, faced bottlenecks in the manual review of borrower documents (W-2s, tax forms, appraisals), leading to high costs, long TTC, and inconsistent compliance checks.
75% Automation of data extraction and verification
Our Solution
We developed and integrated a proprietary AI powered solution:
1. An agent that automatically extracts, validates, and classifies data from hundreds of document formats with over 90% accuracy.
2. An Intelligent Underwriting Model that cross references extracted data with credit risk rules and fraud detection signals in real-time.
99.9% Accuracy in data extraction and verification
Outcome
The automated system reduced human review hours by 75%, allowing the lender to scale volume significantly. The result was a dramatic 40% faster closing process, a substantial reduction in compliance risk, and a superior borrower experience.
Eliminated manual data entry errors and compliance failures
