Autonomous Loan Underwriting Architecture: Processing 100-Page Financial Documents in 18 Minutes

Description and use

An autonomous loan underwriting architecture processes 100‑page financial packages in 18 minutes, achieving 99.4 % accuracy, reducing cycle time from 48 hours, freeing 12,000 h of analyst effort, and tripling origination growth.

Problem

Reduce loan underwriting cycle time from 48 hours to 18 minutes while maintaining 99.4 % extraction accuracy and freeing 12,000 h of analyst effort.

Outcome

18‑minute cycle time, 99.4 % accuracy, 12,000 h analyst hours recovered, 3× origination growth.

Workflow

• Ingest 100‑page PDF via Python, LayoutLMv3, PyPDF, RabbitMQ
• Extract structured JSON with custom VLM OCR
• Cross‑reconcile revenue against GSTR‑2A/3B, bank statements, and ITR filings using LangGraph, DuckDB, Scikit‑Learn, PostgreSQL
• Compute DSCR, Current Ratio, MPBF via CAMRatioEvaluator
• Apply risk threshold gate; auto‑generate CAM PDFKit or route to interactive review portal
• Dispatch sanction letter within 18 minutes

Evidence

Cycle Time 18 Mins Down from 48 hours

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Accuracy 99.4%

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Analyst Hours 12,000h recovered monthly

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Origination Growth 3x without headcount increase

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