Intelligent Document Capture

Vanta Logística received invoices and fiscal documents in every format — structured files, PDFs, photos of paper — and a team typed each one in by hand. Errors surfaced only weeks later, during reconciliation, when they were expensive to fix.

Manual data entry never shows up on a P&L, yet it quietly sets the ceiling on how fast and how accurately the whole Finance function can work.

I designed a document-understanding pipeline that extracts every field into structured data with a confidence score, validates it against business rules, and flags anomalies for review. High-confidence documents flow straight through; only the uncertain ones reach a person.

• Any format — structured files, PDFs, scans
• Confidence scoring routes only uncertain items to review
• Duplicates and out-of-pattern documents flagged automatically

The preview shows a sample document with its fields extracted and scored. All documents and figures are fictional and illustrative only.

The design is structured to take documents from hours of manual entry to seconds of structured, validated data, catching anomalies at intake instead of in reconciliation — with humans handling only the exceptions, not every document.