NLP Document Intelligence and Retrieval Assistant for Trade Operations
Challenge
Low-quality scans, Arabic/English mixed documents and zero tolerance for invented answers. We enforced citation-only responses, confidence thresholds and mandatory human approval on every decision.
Approach
Documents go through OCR (with layout analysis), a fine-tuned extraction model for key fields, and rule-based discrepancy checks against trade-finance practice. A retrieval-augmented assistant, grounded only in internal procedures and the documents themselves, answers operator questions with citations. All model calls run in the client's private cloud with prompt and response logging. Evaluation sets built with operations experts gate every model update.
Outcome
Illustratively ~30–50% reduction in manual data entry per transaction More consistent discrepancy detection across operators Faster onboarding of new staff through the procedure assistant Full audit log of extracted values, edits and approvals Data never leaves the client's controlled environment