A financial services firm received hundreds of documents daily via email, fax, and mail — applications, compliance documents, account changes, legal notices, and more. A team of 6 people spent their entire day reading, classifying, and forwarding documents. We built an AI classification system that identifies document types instantly, extracts relevant metadata, assigns priority, and routes to the correct department automatically.
The firm handled 40+ document types with subtle differences. A 'change of beneficiary' form looks similar to an 'account update' form. Priority scoring required understanding content — a compliance deadline document is urgent, a marketing brochure is not. The system needed near-perfect accuracy because misrouted documents could cause regulatory issues.
We trained a multi-label classification model on the firm's historical documents. The system first identifies the document type, then extracts type-specific fields (account numbers, dates, names). Priority is scored using a combination of document type rules and content analysis. High-confidence documents route automatically; edge cases go to a human triage queue with the AI's suggestion.
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Request a DemoWe used to have a whole team just sorting mail. Now it happens in seconds with better accuracy than we ever achieved manually.
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