Supplier invoices that read, validate and post themselves
OCR plus extraction, validated against the purchase order, posted automatically — humans see only the exceptions.
Abstract
Accounts-payable teams key invoices in by hand and cross-check them against purchase orders one by one. We built an agent that extracts the fields, validates them against the PO in SAP, posts the clean ones automatically, and routes only genuine discrepancies to a human. This is the most measurable ROI a CFO can buy.
The problem
Hundreds of supplier invoices arrive every month as PDFs and email attachments. Each one is read, retyped, matched to a PO, and posted — slow, error-prone, and a poor use of skilled finance people. The work scales linearly with the business; the headcount shouldn't have to.
What we built
- OCR and LLM extraction of date, amount, description and tax ID from any invoice layout.
- Validation against the matching purchase order in SAP.
- Automatic posting for invoices that reconcile cleanly.
- A discrepancy queue that surfaces only the exceptions, with the reason attached.
How it works
- An invoice arrives; the agent extracts its fields regardless of format.
- It matches the invoice to its PO and checks amounts and terms.
- Clean invoices post automatically with a full audit trail.
- Mismatches go to a reviewer with the discrepancy already explained.
Result
The hours your AP team spends keying and matching drop substantially, and posting latency falls — while the exception queue keeps a human in the loop exactly where judgement is needed.
Want this running on your data?
Every paper here started as a free assessment of one real process. Yours can too.