Document AI for Banking
The Challenge
Banking generates enormous volumes of complex, multi-page documents — from mortgage applications and financial statements to KYC documentation and loan covenants. Manual processing is slow, error-prone, and expensive. Legacy IDP tools require extensive template creation for each form variant, and new formats constantly appear.
Use Cases
| Use Case | Department | Complexity | Opportunity |
|---|---|---|---|
| Mortgage origination & underwriting | Retail Lending | High | ★★★★★ |
| Corporate lending & financial spreading | Commercial Banking | High | ★★★★★ |
| KYC / AML document verification | Compliance | Medium | ★★★★☆ |
| Account opening & onboarding | Operations | Low | ★★★☆☆ |
| Trade finance documentation | Trade Finance | High | ★★★★☆ |
Mortgage Origination
Problem
A typical mortgage file contains 100+ pages across 15–20 document types. Loan officers spend hours sorting, classifying, and extracting key data points. New form variants from different lenders and agencies break template-based systems.
Solution
DocAI Fabric classifies and splits the mortgage packet automatically, extracts key fields (borrower info, property details, income, liabilities) from each document type, and validates data across documents using business rules.
Expected Outcome
Processing time reduced from hours to minutes. No template setup required for new form variants. Full audit trail for compliance review.
Why DocAI Fabric
- ✓ On-premises deployment for regulatory compliance
- ✓ Full explainability for audit and regulatory review
- ✓ Handwriting and poor-scan OCR capability
- ✓ Business-rule validation for cross-document checks