The invoice with a clear order number and a matching total is the easy case. The one covering two deliveries, with a missing reference and a disputed quantity, tells you far more about the workflow you need.
Start your assessment with both. A tool that reads the fields accurately still needs somewhere to send an invoice that cannot proceed.
Define the journey you want to improve
For a first review, follow one type of supplier invoice from arrival to “ready for approval”. Keep the boundary narrow enough to observe each handover.
List the information needed at the end: the supplier record, invoice number, amounts, order reference and supporting documents relevant to your process. Note which system should hold the final record and who decides that it is complete.
Then watch what staff actually do. Include looking up a supplier, comparing a delivery note, searching an inbox and asking a colleague about a discrepancy.
Give each exception a reason
For every invoice that needs extra attention, record why it stopped. Useful categories might include:
- an unreadable or incomplete document;
- a missing or unknown order reference;
- a quantity or amount that differs from the supporting record;
- a possible duplicate;
- a supplier or document format the process has not seen before.
These are examples to adapt, not a complete control framework. Use categories that help your team decide who should act next.
Record active handling time and waiting time separately. Ten minutes spent investigating a mismatch and two days waiting for confirmation are different costs. A document-reading tool may reduce neither unless the handover also changes.
Design the exception queue before expanding the trial
Consider an illustrative case: an invoice is readable, but its order reference does not match any record. The system could prepare a draft and route it to a named reviewer, showing the original document and the reason it stopped.
The reviewer needs a useful next action: correct the reference, request information or reject the draft. Once resolved, the decision should be recorded so the next person can see what happened.
Avoid assuming that a model’s confidence score proves a field is correct. Check the proposed values against available records and define which discrepancies always need a person. Keep the approval step explicit.
Judge the whole route to approval
Compare the trial with your baseline on the same mix of documents. Count preparation, checking and correction time, how often invoices stop, and how long exceptions remain unresolved.
A successful trial should help staff get valid records ready for approval with less total effort and acceptable quality. A fast extraction result is only one part of that test.
Start by reviewing a handful of recent awkward invoices with the team that handled them. F3N’s AI-Ready Data brings the invoice, order and supplier context together so a first workflow can help staff prepare a record for approval.