The enterprise friction point
Senior loan underwriters spent 3 to 5 hours per loan file manually cross-checking W-2s, 1040 tax returns, bank statements, appraisal reports, and title commitments. Complex borrower structures (self-employed, 1099, multi-entity LLCs) resulted in 8-day underwriting queues, causing borrower lock-expiry extensions.
Transformation objectives
- Extract financial tables and tax schedules from 400+ page loan application packets automatically.
- Calculate Debt-to-Income (DTI), Loan-to-Value (LTV), and Debt Service Coverage Ratios (DSCR) in real time.
- Validate documentation against Fannie Mae, Freddie Mac, and private credit underwriting guidelines.
- Generate standardized preliminary Credit Memos in under 5 minutes for underwriter sign-off.
Discovery & architectural audit
Process mapping revealed that underwriters spent 75% of their time on mechanical data extraction and manual calculator entry rather than evaluating credit risk nuances. Missing bank statements or unreadable schedules were only caught days into the review cycle.
The Fortiv AI architecture
- 01
Multi-Format Loan Ingestion: Intelligent OCR parsing mixed-quality scans, paystubs, W-2s, and K-1 tax schedules with tabular precision.
- 02
Financial Ratio Calculation Engine: Algorithmic validation calculating adjusted gross income, recurring debt obligations, and qualifying cash flow.
- 03
Underwriting Rule Matrix: Automated checklist cross-referencing credit guidelines and flagging missing documentation immediately.
- 04
Standardized Credit Memo Generator: Auto-drafted underwriting summaries surfacing key borrower metrics, risk flags, and conditions for approval.
Verified audit outcomes
Post-deployment impact
- 78% Faster
- Credit memo generation — from 4.5 hours to under 5 minutes
- 4x Throughput
- Daily loan file capacity per underwriter without headcount addition
- 0% Extraction Errors
- Across 12,000+ audited income and bank schedule data fields
- 48-Hour Clear-to-Close
- Overall borrower cycle compressed from 18 days to 7 days
Architectural lessons learned
Extracting K-1 and Schedule C self-employment income requires specialized recursive accounting logic rather than generic document OCR.
Highlighting exact source bounding boxes in the original PDF allows underwriters to verify calculations instantly.
Future scale roadmap
Integrating direct automated verification of employment (VOE) and IRS tax transcript verification APIs for zero-touch origination.
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