Finance teams spend a great deal of time moving information between documents and systems. Invoice-to-payment is a good example. Here it is step by step, with an honest view of where AI helps and where it should not act.
The process in six steps
| Step | What happens | Where an agent helps | What stays with people |
|---|---|---|---|
| 1. Receive | Invoices arrive by email, portal or post | Gather them from inboxes and folders; spot duplicates | Which suppliers are approved |
| 2. Capture | Details are entered into the system | Read the fields from documents in many layouts | Checking anything unclear |
| 3. Match | Invoice is compared with the order and receipt | Compare and flag what does not match | Deciding what to do about a mismatch |
| 4. Approve | Coding and approval routing | Suggest coding; route to the approver with context | The approval itself |
| 5. Chase | Missing documents and open questions | Draft reminders and questions | Sending them; any negotiation |
| 6. Pay | Payment is scheduled and released | Prepare the list and run checks | Releasing the payment |
The biggest time sinks
- Retyping the same fields from a document into a system.
- Hunting for the purchase order or receipt that goes with an invoice.
- Chasing people for missing documents, one email at a time.
- Explaining mismatches at month-end, long after the fact.
Where an agent should not act
Releasing payments, changing a supplier's bank details and approving exceptions carry the highest cost of error, and they are the steps fraudsters aim at. Keep them with people. An agent can prepare the evidence so the decision is quick, but the decision stays human.
How to start small
- Choose one group of suppliers, or one kind of document.
- Time how long the capture and matching steps take today, on real items.
- Have the agent prepare the match, with a person confirming each one.
- Measure again after a few weeks, and only then widen the scope.