On-Demand Credit/Operations Score: 4.0/5.0
On-Demand Knowledge Work | Internal audience
Loan origination requires completion of extensive document packages: proof of identity, financial statements, tax returns, property appraisals, insurance certificates, UCC searches, legal opinions, subordination agreements, etc. Missing or incomplete documentation delays loan closing, increasing risk and cost. Current process: loan processor manually reviews document package against required checklist, identifies gaps, sends gap letter to borrower/broker. Processor then re-reviews resubmitted documents. Median time to complete document review: 6-10 hours per loan. 30% of first submissions are incomplete, requiring rework. Annual volume: 1000-5000 loans/bank. Total annual cost: 6000-50000 hours processor time.
Data Sources:
Data Classification:
Data Quality Requirements:
Document scan quality: ≥200 DPI for readability. OCR accuracy: 95%+ word accuracy on clear documents; 85%+ on poor-quality scans. Document classification confidence: 90%+ for accurate type assignment. Completeness check accuracy: 100% (no missed documents). Data extraction accuracy: 99%+ for structured fields (dates, amounts, ID numbers).
Integration Complexity: Medium-High , Requires integration with LOS system (Ellie Mae, Encompass, Fiserv) to retrieve checklist and application data. Document management system integration to access and retrieve documents. Third-party services (OCR, UCC search, appraisal) require API integration or manual data entry. Document type classification requires ML model training on bank's historical documents. Some documents (especially PDFs from third parties) may have variable formats requiring custom OCR/parsing logic.
| Criterion | Weight | Score (1-5) | Weighted |
|---|---|---|---|
| Time Recaptured | 15% | 5 | 0.75 |
| Error Reduction | 10% | 4 | 0.40 |
| Cost Avoidance | 10% | 4 | 0.40 |
| Strategic Leverage | 5% | 3 | 0.15 |
| Data Availability | 15% | 4 | 0.60 |
| Process Clarity | 15% | 4 | 0.60 |
| Ease of Implementation | 10% | 4 | 0.40 |
| Fallback Available | 10% | 5 | 0.50 |
| Audience (Int/Ext) | 10% | 5 | 0.50 |
| Composite | 100% | 4.00 |
Document checklist is explicit (bank publishes required documents by product). Completeness check is straightforward (binary: have doc or don't). OCR/document classification is proven technology. High volume (1000-5000 loans/year) and clear time savings (eliminate 6-10 hour review). Fallback is simple: processor manually reviews documents if agent fails. Internal audience. Clear measurement: track % first-pass approval, time to completeness, exception rate.
Sprint 0 (2 weeks) + 3 build sprints (6 weeks)
Sprint 0: Document checklist specification by product, OCR/classification model training data assembly, document type taxonomy
Build Sprints 1-3: Document type classification model, completeness checker, data extraction (OCR + form parsing), gap letter generation, resubmission workflow, exception escalation
From zero to a governed, production agent in 6 weeks.
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