Invoice and document extraction pipeline
An automation that reads supplier invoices from email, extracts the data with a vision model, checks it and posts it to the accounting system.
Problem
01 — OverviewThe accounts team typed hundreds of supplier invoices a month by hand from PDFs and scans in different formats.
Capture invoice data automatically, catch mistakes before they reach the books, and keep a person in the loop for anything uncertain.
Solution
02 — Build- 01
A mailbox watcher collects invoice attachments and queues them for processing.
- 02
A vision-capable LLM returns structured fields — supplier, dates, line items, tax, totals — against a strict schema.
- 03
Rules check the maths, match the supplier and purchase order, and flag duplicates.
- 04
Clean invoices post automatically; flagged ones go to a review screen with the fields highlighted on the document.
Architecture
03 — SystemAI workflow
04 — SequenceCollect the attachment from the mailbox
Extract fields into a strict schema
Validate totals, supplier and PO match
Auto-post or send to human review
Record corrections to improve the prompts
Technology & role
05 — DeliveryProcess analysis, extraction pipeline, validation rules, review UI and ERP integration.
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