CognitiveFlow: AI Enterprise Document Intelligence & Extraction
Intelligent document analysis pipeline using OCR and LLMs to ingest, verify, and cross-reference commercial loan applications, tax returns, and bank statements in under 10 seconds.
Project Overview
A corporate leasing and financial firm received thousands of multi-page commercial loan applications, including audited financial statements, tax clearance certificates, and trade licenses that previously required teams of credit analysts days to manually review.
Document Backlogs, Fraud Risks & Inconsistent Underwriting Speed
The client required an automated, privacy-compliant AI ingestion pipeline that extracts tabular figures, flags anomalies, and generates preliminary credit risk summaries without human delay.
Vision-Language OCR & RAG Verification Pipeline
Built a secure Python microservice utilizing vision models, LangChain, pgvector, and FastAPI connected to a Next.js underwriting dashboard.
System Architecture & Interface Previews
Credit Analyst Ingestion Portal
Automated Fraud & Anomaly Audit
Executive Underwriting Summary
Execution Sprints & Methodology
Document Taxonomy Mapping
Classified 14 critical document types including tax returns, bank statements, and audit reports.
Custom Extraction Prompting
Engineered structured JSON schemas with zero-shot validation guardrails.
Anomaly Detection Algorithms
Created deterministic balance verification scripts to verify arithmetic consistency.
Reviewer Portal Development
Engineered a Next.js UI showing live PDF bounding boxes linked directly to extracted JSON data.
SOC2 Compliance Hardening
Configured automated file deletion policies and encrypted document storage on AWS S3.
Verified Project Outcomes
Complete application packet analysis dropped from 6 hours to under 30 seconds.
Firm scaled loan processing volume by 1,000% without adding headcount.
Complied with strict financial data privacy standards using zero-retention enterprise AI endpoints.
Technologies Deployed in This Solution
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