MortgageQ – AI-Driven Non-QM Guideline Intelligence
From messy PDFs to instant decisions: How agentic extraction turns Non-QM guidelines into auditable answers
Problem
Non-QM lending runs on sprawling, inconsistent PDFs—tables, footnotes, scanned images—updated frequently across 50+ lenders. Loan officers spend 4+ hours daily hunting for rules and exceptions, while borrowers cool off. Result: missed deals, avoidable declines, and $2.4M in lost revenue annually per mid-sized lender.
Solution
Engineered an AI system that ingests lender PDFs (including image-based content), extracts structured fields from unstructured text, normalizes data across lenders, and returns scenario-specific answers within seconds. Multiple AI agents research all eligible lenders in parallel, backed by guideline references and accessible PDFs.
Impact
- Research time reduction95%
- Saved per loan inquiry~1 hour
- Lenders searchable in seconds50+
Situation & Problem
Non-QM lending runs on sprawling, inconsistent PDFs—tables, footnotes, scanned images—updated frequently across 50+ lenders. Loan officers spend 4+ hours daily hunting for rules and exceptions, while borrowers cool off. Result: missed deals, avoidable declines, and $2.4M in lost revenue annually per mid-sized lender.
Solution Overview
Engineered an AI system that ingests lender PDFs (including image-based content), extracts structured fields from unstructured text, normalizes data across lenders, and returns scenario-specific answers within seconds. Multiple AI agents research all eligible lenders in parallel, backed by guideline references and accessible PDFs.
Key Capabilities
- Multi-agent parallel lender research
- Field normalization across divergent nomenclatures
- Evidence-backed answers with guideline citations and PDF access
- 'Just Missed' analytics for lenders
- OCR for image-based guideline pages
- Human-in-the-loop confidence thresholds
- ROI calculator: time savings alone covers platform cost
Client Voice
"The AI doesn't just help us manage Non-QM complexity—it turned it into our competitive advantage. We're closing loans 300% faster with the confidence of having a senior underwriter available 24/7."
— VP Operations, Mid-Market Lending Firm
System Architecture
Implementation Approach
Pilot (2–4 weeks)
Define Tier‑1 fields and workflows, run on real data, add human‑in‑the‑loop review, and measure time‑only ROI.
Scale (4–8 weeks)
Expand coverage, enable analytics, and harden integrations and governance.
Ready to achieve similar results?
Let's discuss how we can transform your operations with AI. Our team delivers measurable impact in weeks, not months.