LLM Document Intelligence — 80% Faster Processing

The Problem

The client’s compliance team was manually reviewing thousands of financial documents each month. Each analyst spent 40+ hours per week on document classification, data extraction, and validation — creating critical bottlenecks, increasing error rates, and driving up operational costs.

The Solution

We built an end-to-end LLM-powered document intelligence pipeline. The system uses AWS Textract for OCR, GPT-4 for document classification and entity extraction, and a LangChain orchestration layer for multi-step validation against the client’s compliance rules. Documents are automatically categorized, key data points extracted, and flagged items routed to human reviewers — only when needed.

Tech Stack

Results

Key Takeaways

• ✓OCR + LLM pipelines can replace manual document review at scale
• ✓Human-in-the-loop design maintains compliance while cutting costs
• ✓LangChain orchestration enables complex multi-step validation workflows
• ✓ROI achieved within 6 months of deployment