Example project · New build

AI document-processing pipeline

Invoices, forms and contracts read automatically into structured data, with people reviewing only the uncertain ones.

This is a representative example of a project type we take on — a typical situation, approach and scope — not a description of a specific client engagement. Timelines are indicative; yours will depend on the details.

The situation

Staff re-type information from PDFs and scans into another system all day. Template-based OCR was tried and abandoned because every supplier's layout is different.

How we approach it

Build an evaluation set from real documents first, so accuracy is measured rather than felt.
Extract with a language model into a strict schema, then validate totals and cross-checks in ordinary code.
Route low-confidence results to a fast human review screen.
Track cost and accuracy per document type, and keep sensitive data handling explicit.