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Engineered With AI

Automating Invoice Processing Without Losing Control of Payments

Accounts payable teams spend a large share of their week on work that follows clear rules: reading invoices, typing the details into the finance system, checking them against purchase orders and chasing approvals. It is an obvious candidate for automation, and it involves money leaving the business, which raises the stakes.

Invoice processing automation works well when it removes the typing and matching while keeping, and often strengthening, the controls that stop the wrong payment going out.

Map the current process first

Follow a sample of invoices from arrival to payment. Note where they come in, who touches them, which checks happen, where they wait and why. The waiting is usually where most of the elapsed time sits, rather than in the typing.

This map shows what can be automated, what should stay manual, and where the real delays are. Automating the typing while approvals still sit in someone’s inbox for a fortnight changes very little.

The stages that automate well

  • Capture: collecting invoices from inboxes and portals into one queue.
  • Extraction: reading supplier, dates, amounts, tax and line items.
  • Validation: checking totals add up and required fields are present.
  • Matching: comparing against purchase orders and goods received.
  • Routing: sending exceptions and approvals to the right person.

Each stage can be automated independently, which makes it possible to start small and extend once the first stage is reliable.

The win in accounts payable is rarely the extraction. It is getting a correctly matched invoice in front of the right approver the same day it arrives.

David Kwon, Head of Automation, Engineered With AI

Matching is where the value is

Two-way matching compares the invoice with the purchase order. Three-way matching adds the record of what was actually received. Invoices that match within agreed tolerances can move straight to approval; those that do not become exceptions for a person to review.

Set tolerances deliberately. A small rounding difference should pass automatically, while a price increase or an unexpected extra line should not.

Watch for duplicates

Duplicate invoices are a common source of overpayment, especially when suppliers resend reminders. Checking supplier, invoice number, amount and date against recent payments catches most of them before they reach approval.

Controls that must stay human

Changes to supplier bank details should never be handled automatically. Fraudsters regularly impersonate suppliers and ask for payments to go to a new account, and the only reliable defence is verifying the change through a known contact on a known phone number.

Final approval of payment runs, new supplier set-up and anything above an agreed value should also stay with a person. Automation prepares these decisions; it does not make them.

Keep the audit trail

Every automated action should be logged: what was extracted, what matched, what was changed and by whom. Auditors will ask, and a clear trail is often better than the manual process it replaced.

Keep the original invoice file linked to its record permanently. Disputes and audits depend on seeing exactly what the supplier sent.

Handle the awkward invoices

Some suppliers send scanned paper, handwritten notes or unusual layouts. Aim for high automation on the common formats and a fast review screen for the rest, rather than chasing full automation at great cost.

The techniques for reading these documents are covered in more depth in document extraction pipelines.

Measure the right things

Useful measures include the time from receipt to approval, the share of invoices processed without manual touch, the exception rate by supplier, and early-payment discounts captured or missed.

Discounts are often the most persuasive number for finance leaders, because faster processing frequently pays for the project on its own.

Roll it out in stages

Start with a handful of high-volume suppliers whose invoices are consistent. Prove accuracy there, then widen. Running the automated and manual processes side by side for a short period builds confidence and catches problems before they reach a payment.

Start with a clean supplier list

Duplicate and outdated supplier records cause mismatches that no automation can resolve. Cleaning the supplier master data before go-live, merging duplicates and confirming payment details through known contacts, removes a large share of future exceptions.

Finance team keying in invoices by hand?

We will design an invoice pipeline that saves the time and keeps the controls.

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