OCR vs AI in accounts payable: seven workflow tests
OCR and AI are not competing labels for the same function. OCR turns text in a document image into machine-readable data. An accounts-payable system can then use that data, together with configured rules and accounting context, to prepare the work that follows.
The useful buying question is therefore not “does this product have AI?” It is “which parts of our invoice workflow does it complete, and what does a person still have to do?”
Start with the job OCR performs
OCR identifies characters and fields in PDFs, scans, and photographs. That can remove a large amount of typing, but extraction alone does not collect invoices from every source, identify duplicates, compare purchase documents, choose an approver, propose an accounting classification, or send a validated journal entry to the ERP.
Those are separate jobs. A product may do some, all, or none of them, regardless of the terminology on its website.
Seven tests for the complete workflow
1. How do documents enter the system?
Ask whether invoices can arrive through the channels your suppliers and teams already use, such as email, shared repositories, chat tools, an API, or manual upload. Then ask what still has to be downloaded, forwarded, or renamed by a person.
2. Which fields are extracted?
Check headers and line items separately. A useful test document includes supplier details, invoice references, dates, quantities, unit prices, amounts, taxes, and a field specific to your operation. Ask to see confidence at field level and what happens to an uncertain value.
3. How are duplicates identified?
Upload the same invoice through two different channels or in two file formats. The product should show whether it compares supplier, reference, date, amount, and other document signals before the invoice enters the next step.
4. Can it use your accounting structure?
Generic expense labels are not enough. Test the product with your chart of accounts, subaccounts, cost centres, and a supplier whose invoices contain more than one type of cost. Ask which previous team decisions the system can reuse and where the proposal is reviewed.
5. Does it keep related documents together?
For purchase-based invoices, ask the product to associate the invoice with its purchase order and delivery notes. A three-way match should compare the relevant references, quantities, prices, amounts, and taxes, then make the differences visible.
6. How are approvals and exceptions handled?
Use an invoice that crosses one of your approval conditions. Ask who receives it, which field triggered the route, what status the accounting team sees, and how an exception returns to the workflow.
7. What reaches the ERP?
The final test is the output. Ask to see the proposed category, subaccount, cost centre, and journal entry, the human review step, and the native integration or API used to submit the validated result. A polished extraction screen does not answer this question.
Compare products with one real document set
Use the same invoice, purchase order, delivery note, chart-of-accounts extract, approval condition, and expected ERP output in every demo. Record which steps the product completes, which require configuration, and which remain manual.
This makes the comparison specific. It also prevents unrelated features, such as a support chatbot or a generic analytics dashboard, from standing in for accounts-payable automation.
How Calitem handles the workflow
Calitem combines OCR and AI across the accounts-payable process. It receives supplier documents, extracts standard and custom information with 98% accuracy, detects duplicates, matches invoices with purchase orders and delivery notes, routes approvals, and proposes line-level accounting assignments and journal entries.
The source documents, extracted values, confidence, accounting proposal, and workflow status remain available for review. Once validated, the result can be submitted through a native ERP integration or the open API. Payment execution, bank reconciliation, tax filing, and regulated sales invoicing stay in the specialist systems used by the finance team.
To test the seven questions with your own documents, book a demo.