Document Intelligence POC in 48h
How we built and deployed an OCR extraction + automatic classification agent for a Paris fintech.
The context
A Paris-based fintech was manually processing hundreds of invoices per week. Their team spent 20+ hours extracting data (supplier, amount, date, VAT) and entering it into their ERP. Data entry errors caused recurring accounting discrepancies.
Before
- — 20+ hours/week of manual data entry
- — Recurring errors (5-8%)
- — Processing delay: 24-48h
- — Team frustrated by repetitive tasks
After (48h later)
- 2 hours/week (review only)
- Error rate < 1%
- Real-time processing (<30 sec)
- Team focused on high-value tasks
The process
Day 1: Diagnostic + Architecture
30-min call to understand the exact workflow. Analysis of 10 sample invoices. Architecture definition: OCR (extraction) → LLM (classification) → API (ERP).
Day 2: Build + Deploy
Agent built with LangChain + GPT-4o. OCR integration for text extraction. Automatic classification pipeline (supplier, amount, date, accounting category). Production deployment with monitoring dashboard.
Tech stack
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