Accounts payable and data entry: 5 questions to ask before choosing a document extraction tool

Automating accounts payable always sounds good in a meeting. Then supplier PDFs arrive: different layouts, skewed scans, attachments via certified email, someone asking "but if it gets the amount wrong, who catches it?"

Before signing for an OCR tool or an "AI-powered" platform, it helps to get your bearings. Here are five questions we use ourselves when designing document workflows (and that we suggest you bring to any evaluation).

1. Which documents, with what variability?

Saying "invoices" is not enough. What matters is your real mix:

Native PDFs vs scans
Italian and foreign invoices, purchase orders, delivery notes, receipts
How many distinct suppliers, how much layouts and fields vary

A system that works on ten clean PDFs in a demo can stall the following month. Ask for proof on documents representative of your volume, not lab samples.

2. What happens after extraction?

Reading fields is half the job. The other half is verifying that totals, VAT, tax IDs, IBANs, and dates are consistent.

Look for explicit algorithmic checks, confidence scores, automatic approval thresholds. If the answer is "the AI is very accurate," ask how they measure error and what happens when the model gets it wrong.

3. Where do the data (and files) go?

Output must enter your world: ERP, accounting software, CRM, approval workflow. Check formats (CSV, JSON, XML), APIs, webhooks, connectors.

In parallel, ask where documents and metadata are hosted. For many European companies this is a non-negotiable requirement: processing in the EU, art. 28 GDPR DPA, configurable retention. This is how we set up LOCRAI from day one.

4. Who reviews exceptions?

No serious document automation promises zero human review. The point is how often intervention is needed and how usable the interface is: document preview and fields side by side, a queue only for cases below threshold.

If review means an Excel export to eyeball manually, you moved the problem, you did not fix the flow.

5. How does it fit your existing process?

Dedicated email, upload, SFTP folder, API call from your ERP: the intake channel must match how you already work.

Same for output: webhook notification to the system that registers the invoice, scheduled export, custom integration. Document extraction in isolation creates another silo; the goal is to close the loop in the process you already have.

In summary

Question	Positive signal
Types and variability	Demo on your files, volumes similar to reality
Data verification	Objective rules + score, not just "accurate AI"
Destination and hosting	ERP/CRM integration + clear EU perimeter
Exceptions	Targeted review, not 100% manual
Process	Intake/output aligned with your flow

If you want to go deeper on the deterministic + AI mix we use in production, we published a dedicated article: Document processing: OCR, checks, and AI where it matters.

For a demo on real invoices or delivery notes: locrai.com/en/contacts. For projects that also involve broader integrations and automations, contact us at Syncronika.

FAQ

Which documents should I test a document extraction tool on?

Test it on documents representative of your real volume, not lab samples. What matters is the mix: native PDFs and scans, Italian and foreign invoices, purchase orders, delivery notes and receipts, how many distinct suppliers and how much layouts and fields vary. A system that runs on ten clean PDFs in a demo can stall the following month.

Is reading the fields enough, or do I need to verify the data?

Reading fields is only half the job. The other half is verifying that totals, VAT, tax IDs, IBANs and dates are consistent. Look for explicit algorithmic checks, confidence scores and automatic approval thresholds, not the generic promise that the AI is very accurate.

Where should extracted documents and data be hosted?

For many European companies, processing in the EU is a non-negotiable requirement, together with an art. 28 GDPR DPA and configurable retention. In parallel the output must integrate with your ERP, accounting software and CRM through formats like CSV, JSON and XML, APIs, webhooks and connectors.

Does document automation remove human review entirely?

No. No serious document automation promises zero human review. What changes is how often intervention is needed and how usable the interface is, with document preview and fields side by side and a queue only for cases below threshold.

How should extraction fit into the existing process?

The intake channel, dedicated email, upload, SFTP folder or an API call from your ERP, must match how you already work. The same applies to output, with webhook notifications to the system that registers the invoice or scheduled exports. Extraction in isolation creates another silo: the goal is to close the loop in the process you already have.