OCR is only the first step in invoice processing

Reading an invoice is useful. Knowing whether its contents are ready for your finance process is a different job.

When you assess AP automation, follow the invoice beyond extraction. A convincing demonstration should show what happens when information is missing, a purchase order does not match, or someone needs to approve an exception.

OCR, intelligent document processing and AP automation

OCR turns text in an image or scan into machine-readable text. Intelligent document processing goes further: it identifies the information a process needs and turns it into structured fields. Accounts payable automation applies those fields within a finance workflow, including validation, matching, review and a controlled handoff to the ERP.

These capabilities can overlap in one product. The distinction is the job being completed, not whether the supplier uses the words “AI” or “automation”.

For example, reading an invoice number is extraction. Checking whether that number already exists for the same supplier is validation. Comparing its lines with a purchase order and receipt is matching. None of those checks, by itself, authorises payment.

Start with what you already have

Your ERP, OCR service or RPA workflow may already capture supplier names, dates and totals. Some products also include classification, validation and workflow tools.

Map those capabilities before buying another system. Where does your team still rekey information, open supporting documents or chase a decision? That is the work your evaluation should focus on.

Check the transaction, not just the text

An invoice can be perfectly readable and still require investigation.

The supplier may need verification. A price may differ from the purchase order. A delivery record may be missing. The same invoice may have arrived through more than one channel.

Ask which checks use data from your ERP, which use configured business rules, and which require a person.

Also ask what happens when the information needed for a check is unavailable.

A readable invoice can still need review

Consider a fictional invoice for ten units where the receipt records eight. The extracted quantity may be completely correct, but the transaction still needs an explanation. Has the remaining delivery arrived? Is the receipt incomplete? Should the invoice wait for a decision?

A useful demonstration should preserve the original invoice values, show the mismatch and route it to the responsible person. It should not silently change ten to eight to make the documents agree. Equally, an unavailable receipt should be distinguishable from a confirmed quantity mismatch.

Make exceptions part of the demonstration

Do not stop at a clean invoice moving through the system.

Include a credit note, an unfamiliar supplier layout and an invoice that needs correction. Watch how the issue is explained, who receives it and how the decision is recorded.

The useful question is: “Can our team understand and resolve this?” A warning that creates another investigation may simply move the manual work elsewhere.

Agree what success means before a pilot

Choose a representative document set and record how the current process handles it.

Then measure extraction quality separately from review effort, unresolved exceptions and successful delivery into the destination system. Define what counts as correct, and include unsuccessful documents in the results.

Use the same agreed definitions before and during the evaluation:

• Field correctness: which required fields match an independently checked reference, including line items?
• Review effort: how much active work is needed to correct, investigate or approve a document?
• Exception outcome: is each unresolved item visible, assigned and supported by evidence?
• Delivery outcome: did the destination accept the record, and can the team trace or safely retry a failed handoff?

Report the sample size and document mix alongside the results. A clean typed invoice and a poor scan should not be presented as equivalent evidence of performance.

That gives finance and IT a shared basis for deciding whether the proposed workflow earns its place.

Bring one workflow to the conversation

If extraction is the missing capability, start with Syntext Scribe. If the problem also includes invoice matching and approvals, explore AP Automate. Our implementation approach and ERP integrations explain how the selected workflow is scoped around your existing systems.

Book free discovery. We will discuss your documents, ERP and approval steps, then decide whether a scoped evaluation would be useful.