Accounts Payable Automation Best Practices: The Order That Works

Why listen to us: ECIT Digital processes supplier invoices for finance teams every day. Our AI reads every invoice, our people check what the AI is unsure about, and we guarantee 99.8% accuracy on the data we deliver into your ERP or AP tool.

Last year I bought a robot vacuum, named it Dusty, and set it loose on a floor covered in cables, socks and one suspicious Lego brick [you can see where this is going]. Dusty now lives under the sofa, wrapped in a phone charger, beeping for help at 3am.

I had automated a mess, and the mess won. AP teams do the exact same thing with invoices, just with more zeros on the bill. This guide covers the best practices that stop that from happening, in the order you should tackle them, plus the challenges that trip teams up [Dusty will be back, he always is].

Accounts payable automation best practices at a glance

Here is the whole guide in one table, for the reader who skips to the end of mystery novels [no judgement, I do it too].

Do the best practices in this order

Most guides hand you 15 tips in random order, like a shuffled IKEA manual [step 1: attach the doors]. The order matters more than the tips, because each step trusts the data from the one before it.

So yes, the boring supplier cleanup comes first. Nobody has ever thrown a party for a clean supplier list, but every working AP automation sits on top of one.

1. Fix the process before you automate it

Automation does exactly what your process does, only faster, which is great news for good processes and terrible news for Dusty. Before you buy anything, map how an invoice moves through your company today, from arrival to payment.

Our guides to the accounts payable process and the AP workflow walk through each step. Look for the loops: invoices emailed to three people, approvals that sit in someone's inbox for a week, suppliers paid twice because the same PDF arrived twice [twice the PDF, twice the fun].

• Clean the supplier master. One record per supplier, no duplicates, bank details verified. Duplicate supplier records are how duplicate payments start.
• Write down the coding rules. If only Linda knows which cost center the cleaning invoices go to, Linda is your single point of failure [hi Linda].
• Agree who approves what. Set thresholds by amount and spend type before the software asks you to.

2. Give invoices one front door

Paperless accounts payable starts with where invoices arrive. If they land in personal inboxes, a shared mailbox, the post room and a supplier portal, you have four front doors and at least one of them is unlocked.

Pick one address and one queue, and send every format into it: e-invoices, emailed PDFs and paper. Paper gets scanned once at the door, then handled like everything else [the fax machine is not invited].

E-invoices are the best guests at this door. According to Ardent Partners, "slightly more than half (51.4%) of all invoices are submitted electronically", and 83% of AP leaders expect that number to grow. The Federal Reserve calls e-invoices "a necessary first step to achieving straight-through processing".

Outside the US it is becoming law. The EU adopted its VAT in the Digital Age package on 11 March 2025, with digital reporting for cross-border B2B trade from 1 July 2030. If you trade with Europe, read what an e-invoice is and how PEPPOL e-invoicing works [pronounced "pep-ol", not "people", I checked].

Getting suppliers on board: tell them the new address in writing, give them a date, and stop accepting invoices anywhere else after it. Suppliers adapt fast once the old inbox stops answering.

3. Capture every field, then check it

This is the accounts payable invoice processing best practice everything else depends on. If the amount is captured wrong, matching fails, approvers sign off on the wrong number, and the bank happily pays it [banks never question a typo].

Header fields alone are not enough to match against a PO, you need the lines. And AI capture is fast, but it does not always know when it is wrong [neither do I, but I have an excuse].

So a person should check every field the AI is unsure about. That is where most tools stop and leave the checking to you. Our invoice scanning works differently, which is why we can put a number on it.

4. Aim for touchless, plan for exceptions

Touchless invoice processing means an invoice goes from arrival to approved without anyone touching it. It is the goal, and like my goal of running a marathon, most teams are not there yet [I own the shoes, that counts].

In Ardent Partners' 2025 benchmark, the average AP team processed 35.4% of invoices straight-through, and 18.4% of invoices became exceptions. Ardent's Andrew Bartolini says exceptions "continue to be the bane of AP's existence".

So design for both paths. Let invoices that match a PO and a goods receipt flow straight through, using clear tolerance rules. Read our guide to purchase orders vs invoices if two-way and three-way matching are still fuzzy.

Then give exceptions an owner, a queue and a deadline, so they stop living in someone's inbox like Dusty under the sofa [still beeping]. Our invoice reconciliation guide covers how to close the loop at month end.

5. Build fraud controls into the workflow

Fraudsters love AP, because AP is the team whose job is to send money to people who ask for it nicely. According to the AFP 2026 Payments Fraud and Control Survey, 76% of US organizations experienced attempted or actual payments fraud in 2025, and 74% were hit by business email compromise.

The classic trick is a fake supplier asking you to update their bank details. In the 2025 edition of the same survey, vendor imposter fraud was cited by 45% of respondents [the "new bank, who dis" email].

The US GAO puts the second row plainly: "Segregation of duties helps prevent fraud, waste, and abuse". And duplicates are not rare: APQC benchmarks show even top performers report 0.8% of annual disbursements as duplicate or erroneous payments, and bottom performers 2% [the PDF that arrived twice, again].

Software can flag a changed bank account or a duplicate invoice number in seconds. It cannot pick up the phone and sound suspicious, which remains a proudly human skill.

6. Measure the AP metrics that matter

If you only track one thing, track cost per invoice. If you track four, add cycle time, exception rate and straight-through rate, and you will know more than most AP dashboards, which mostly show a pie chart nobody asked for.

APQC's older benchmarks tell the same story: top-quartile organizations spend $2.07 or less per invoice, against $10 or more for the bottom quartile. Measure yours before you change anything, otherwise you cannot prove the change worked [Dusty's app says he cleaned 100% of the floor, so apps do lie].

Build the business case on your own numbers

Every vendor has an ROI calculator, and every ROI calculator somehow concludes you should buy from that vendor [shocking, I know]. Build yours from your own numbers instead, because those are the only ones your CFO will believe.

• Count the volume. Invoices per month, and how many arrive as paper, PDF or e-invoice.
• Time the work. Minutes per invoice for capture, coding, matching and chasing approvals.
• Price the mistakes. Late payment fees, missed early payment discounts, duplicate payments.
• Add the risk. What would one paid fake invoice cost you?

For scale: Ardent notes that in the early 2000s, "average invoice processing costs could easily exceed $20 per invoice". Today the average is $9.84, so the gap between average and best-in-class is where your case lives.

AP automation challenges, and how to get past them

AP automation projects rarely fail because of the software. They fail because of approvals, exceptions and suppliers, the three horsemen of the AP apocalypse [the fourth one is month end].

Ardent's 2025 survey found the top challenge, "called out by 49% of AP executives, is the length of time it takes to approve invoices and payments", followed by invoice exceptions at 48% and fraud risk at 31%. Here is what we see behind each one.

AI adoption is a challenge of its own. Ardent found "fewer than half of AP teams (44%) currently using AI technologies", and 22% have no immediate plans to adopt it. That is fine: you do not need AI everywhere, just in capture, where it does the most typing.

How to roll out AP automation without the drama

Big-bang rollouts make great war stories and terrible quarters. Go in stages instead.

Choosing tools? Our comparison of the best AP automation software covers the options, including providers where people check the data for you [shameless, but relevant].

The bar is rising, too. Hackett Group research on AP providers reports that "leading solutions achieve 60% touchless, straight-through processing", so touchless is not a fantasy, it is just a project.

What we see in the field

From where we sit, between our clients' invoices and their ERPs, the patterns repeat. Here is what the teams who get this right have in common [spoiler: none of them own a Dusty].

• They hand off the document, not the problem. Invoices go to one address, and clean data comes back into the ERP or AP workflow tool. Nobody on their side retypes anything.
• They expect messy invoices. Paper, phone photos and 40-page PDFs all show up. Paper is scanned by our partners, then handled like any other file.
• They keep a person in the loop. When our AI is unsure about a field, someone on our team checks it, which is how the 99.8% accuracy guarantee holds.
• They start with one document type. Supplier invoices first, then orders, remittance advice or anything else that gets retyped.

"Construction invoices are complex and highly variable and ECIT provided a flexible and extensible data extraction model that worked wonderfully." - Terence Pua, CEO, Hinges AI

As for Dusty: I finally picked up the cables, cleaned the floor, and set him off again. He has not been stuck once since [he is still afraid of the Lego brick]. Clean first, then automate. That is the whole guide, really.