AI invoice processing: validate extracted data before it reaches accounts

Separate extraction from financial approval

Define the fields needed for the next business step: supplier identity, invoice number, dates, currency, line items, totals and purchase-order reference. Distinguish a recognised value from an approved value. Extracted bank details, for example, must not silently replace the supplier's verified payment record.

Microsoft's invoice documentation describes a model for extracting invoice information. Its availability does not mean every supplier layout or scan will produce a usable result. Build a sample set covering the document types you actually receive, including credit notes, multi-page invoices, poor scans and different date formats.

Validate the fields that can change the outcome

Check whether line totals, tax amounts and invoice totals reconcile according to the expected rounding rules. Match the supplier to an existing authorised record and preserve the original invoice number. Treat an unrecognised currency or ambiguous date as an exception, not a reason to invent a likely value.

Use field-level review rules. An uncertain description might be tolerable in a draft, while an uncertain amount, supplier or bank account requires attention. Microsoft's transparency material explains that extraction confidence is an estimate; it should inform testing and review, not act as a universal approval threshold.

• Compare invoice references against previously received documents.
• Verify purchase-order and receipt relationships where used.
• Route changed bank details through an independent verification process.

Make the exception queue practical for reviewers

Show the extracted field next to the source page and highlight the reason it needs review. Allow a reviewer to correct a value, mark a document unsupported or request clarification from the supplier through the approved channel. Record who resolved each exception and what changed.

Avoid a queue that presents hundreds of low-value warnings without prioritisation. Group cases by failure reason so a recurring supplier-layout issue can be corrected once in the extraction configuration. Keep business approvals distinct from technical corrections: fixing a misread amount does not authorise the invoice.

Integrate with accounting without duplicating records

Create a draft or staged record first when the target application supports it. Assign a stable source-document reference and store the returned accounting identifier so retries do not create another bill. Reconcile what was accepted, rejected and still awaiting review after each processing run.

Measure straight-through completion only for cases that meet the agreed controls. Track correction rates by important field and supplier layout, and include reviewer time in the business case. The final workflow should make unusual invoices easier to investigate, not simply move typing errors into the ledger faster.