How a regulated lender automated 600,000+ documents per year.
From 30–60 minutes per application to under 2. A 95%+ reduction in underwriter time spent on data extraction. Production system, on the lender’s infrastructure.
Manual review was capping throughput.
A regulated lender processing 10,000+ loan applications per month was hitting a wall. Every application required manual review of multiple borrower documents - government IDs, proof of address, four to six pay stubs, three to six months of bank statements, and supporting paperwork. The volume reached 50,000+ documents per month, or over 600,000 per year.
Each application was taking 30–60 minutes of underwriter time just to extract, verify, and validate the data, before any actual credit decision was made. The operations team was growing linearly with loan volume. Inconsistencies between underwriters were creating downstream issues. Scaling further wasn’t possible without doubling headcount.
A production-grade extraction system, built into their workflow.
Adjacent Labs designed and deployed a production-grade document intelligence system tailored to their specific document types and validation requirements. The system includes:
- 8–10 trained extraction models covering all required document types: government IDs, proof of address, multiple bank statement formats, multiple pay stub formats, and supporting tax documents.
- Automatic document classification so applications are routed correctly without human sorting.
- An 8-rule cross-document validation engine that catches inconsistencies between documents before they reach an underwriter.
- Transaction categorization for bank statement analysis: income deposits, recurring expenses, NSF fees, and concerning patterns.
- Real-time processing returning structured, validated data in seconds.
- On-premise deployment in Docker containers. The lender owns the system. The data never leaves their infrastructure.
From 30–60 minutes per application to under 2.
- Document processing time reduced from 30–60 minutes to under 2 minutes per application. A 95%+ reduction in underwriter time spent on data extraction.
- Cross-document validation now happens automatically on every application, eliminating the inconsistency issues that come with manual review across underwriters.
- Operations capacity decoupled from loan volume. The lender can process 2x or 3x current volume without adding headcount.
- No vendor dependency. The lender owns the models, the deployment, and the data. No SaaS subscription, no third-party data risk, no recurring per-document fees.
Production systems, not platforms.
Adjacent Labs delivers production systems, not platforms. The work was scoped, milestone-based, and deployed on the client’s infrastructure.
The lender now owns a working system that integrates directly into their existing underwriting pipeline. No rip-and-replace, no SaaS lock-in, and no recurring fees that grow with loan volume.
Want this for your operation?
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