Document Classifier

A financial operations team receives 500+ documents daily: invoices, bank statements, tax forms, contracts, correspondence, and compliance filings. Staff manually determine type, extract data, and route to the correct queue. Misclassification creates downstream errors — an invoice in the correspondence queue gets delayed; a tax form in the wrong client folder creates compliance risk.

Volumes spike at quarter-end and tax season. Temporary staff require training on types and routing rules. Error rates increase with volume.

The challenge is not OCR — it is classification. The same email attachment might be an invoice, statement, or contract amendment, and routing depends on accurate identification and type-specific extraction.

Three-stage processing. First, classify document type using a multi-class model trained on your taxonomy — not generic categories but yours: "vendor invoice," "client bank statement," "K-1 tax form," "engagement letter."

Second, type-specific extraction. Invoices get vendor, number, amount, due date, line items. Tax forms get taxpayer ID, year, filing type, key figures. Validation rules per type: does invoice total match line items? Is tax ID valid format?

Third, route to correct workflow: invoices to AP, statements to client file, tax forms to prep queue. Low-confidence items route to human verification rather than potentially misrouting.