AI how-to guides Finance
How to automate accounts payable with AI
Use AI to capture invoices from every channel, extract their data, match them against purchase orders and goods receipts, and send only the exceptions to people. Approvers see the context, postings go to the ERP and every step leaves evidence for audit. Start with one entity and your highest-volume suppliers, measure, then widen.
What AI does
- Reads invoices from PDFs, email, EDI and supplier portals and turns them into structured records.
- Scores its confidence on each field and sends low-confidence captures to review.
- Matches invoice, purchase order and receipt within your tolerance rules, and flags duplicates, VAT and currency issues.
- Drafts a suggested fix for each exception and routes it to the right person.
- Posts approved invoices to the ERP and logs who did what, when and on which evidence.
What stays with people
- Approving payments according to your delegation of authority.
- Resolving disputes with suppliers and exceptions the system cannot settle.
- Setting the tolerance, matching and approval rules the automation follows.
- Changing supplier master data, especially bank details.
How to put it in place
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Map today's invoice flow
Trace how invoices arrive, who keys them in, how matching and approval work and where invoices get stuck. List the exception types and the suppliers that drive most of the volume.
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Write down the matching and approval rules
Agree tolerances for price and quantity, what counts as a duplicate, how VAT and currency are checked and who approves what. These rules become the policy the automation is held to.
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Connect capture, ERP and approvals
Bring every intake channel into one queue and connect it to the ERP for purchase orders, receipts, suppliers and postings. Give the automation the minimum permissions it needs, and never the right to change bank details.
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Pilot on one entity in parallel
Run the automation on real invoices from one entity or business unit while the team keeps working as usual. Compare extraction, matching and routing with what people did, and fix rules and data until errors are acceptable.
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Switch on by invoice type and widen
Let clean, matched invoices flow straight through and keep review on the rest. Track exceptions, rework and ageing, then add entities, and later receivables, once the results hold.
What you need
- Access to the ERP for purchase orders, receipts, supplier data and postings.
- A sample of real invoices across formats and suppliers to design and test against.
- Clear tolerance, matching and approval rules, owned by finance.
- The intake channels: AP mailbox, EDI feeds, supplier portals.
- A finance owner who runs the exception queue and decides on rule changes.
When it is not worth it
- Very low invoice volume, where manual handling costs little.
- Most spend has no purchase order or receipt to match against, and that will not change soon.
- The ERP cannot be integrated, so results would have to be keyed in again by hand.
Risks and how to control them
- Invoice fraud, such as fake invoices or changed bank details: verify bank changes outside the invoice channel and never let the automation update them.
- Misread amounts or VAT: use confidence thresholds, check totals against the purchase order and send doubtful fields to a person.
- Text inside a document aimed at the AI (prompt injection): treat invoice content as data, never as instructions, and limit what the automation can do.
- Weak audit trail: log every capture, match, approval and posting with the evidence used.
- E-invoicing rules are changing in the EU: check the obligations that apply in each country where you operate.
How Thinkia does it
We start by mapping the current AP/AR flow, ERP, exception types and the suppliers that drive volume, then define matching rules, approval policy, exception routing and the audit evidence you need. We pilot on one entity or business unit with real volume before rolling out by entity.
Finance owns the exception queue and sees only what needs them, with a suggested fix already drafted. Every step is logged with timestamp, reviewer, document hash and decision rationale, on Synapse.
The Thinkia solution behind this guide
- AP/AR automationInvoice automation that closes the books faster
- AI procurement intelligenceSmarter procurement decisions. Less manual legwork.
Thinkia products involved
Frequently asked questions
Can AI process invoices without a person?
Yes for clean invoices that match the purchase order and receipt within your tolerances. Exceptions, disputes and payments above your approval limits still go to people.
What is three-way matching?
It is checking that the invoice, the purchase order and the goods receipt agree on supplier, items, quantities and prices before the invoice is approved for payment.
Is this the same as OCR?
No. OCR turns an image into text. AI capture understands the layout, finds the fields across different supplier formats, scores its confidence and feeds the matching and approval steps.
Does it work with SAP or Oracle?
It can, as long as the automation can read purchase orders, receipts and supplier data from the ERP and post approved invoices back through its interfaces.
How do we keep control for the auditors?
By logging each step with the evidence, the person who approved and the reason, and by keeping approval rules and segregation of duties in place.
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