Before ‘AI’ invoicing, do these three things

Your invoice process is slow because they arrive as PDFs, get forwarded around for approval, end up half-tracked in a spreadsheet, and then someone copies the same details into two different places (while wondering how this is still a job in 2026).

When that’s the norm, of course AI feels tempting. Everyone’s talking about it and AI sounds like the quickest way to make invoicing less painful.

But if your invoice process is already a bit chaotic, you’ll just automate the mess and wonder why it still feels stressful.

Learn how to standardise the way you receive and track your data first; that way, AI accelerates your payments instead of just automating your errors.

Mistake A: Buying an AI tool before you’ve decided what “good” looks like

This happens when you’re trying to do the right thing quickly, because everyone’s telling you AI will fix it. Then you get the tool, and it immediately asks sensible questions you can’t answer yet, like: “What counts as approved?” or “Which fields are mandatory?”

As a result, you end up configuring software around the messy process you already have, because the process hasn’t been pinned down in plain English. You’re still stuck chasing gaps and dealing with exceptions. The only difference is you’re doing it inside software that costs a lot and needs managing.

Mistake B: Automating on top of too many spreadsheets

It starts innocently, because spreadsheets are familiar and everyone can open them. You set up one spreadsheet to list every invoice and track supplier, amount, due date and approval status. Then someone duplicates it to add a column. Finance creates their own version. Ops tweaks theirs. Someone builds a leadership view so the numbers look tidy.

When you try to layer automation on top, it struggles. No one’s sure which version is right and the system doesn’t know which sheet to trust. What was meant to speed things up just adds another layer.

Before you automate anything, you need one place where an invoice lives – not three. By “one home”, we mean a single system that holds the invoice record, the supplier record and the current status (received, in review, approved, ready to pay), so you’re not piecing the story together from an inbox.

Once you’ve picked that home, keep it simple and agree a small set of required fields that every invoice needs before it can move forward. These are the basics that stop the back-and-forth and the chasing:

• supplier name
• invoice number
• invoice date
• total amount
• due date
• PO/reference (if you use one)
• who it’s waiting on

If your team is already stretched, this is not the moment for a grand system migration with a dramatic launch date. Start with what you already have, your accounting package or your CRM/ERP, and standardise there first. It might not be glamorous, but it will get used, which is the whole point.

Once invoices have one home, the next goal is stopping the retyping. Most invoice pain is copy-paste between inboxes, approvals, trackers and the finance system, so automate the steps where invoices change hands first.

Tools like Microsoft Power Automate or Zapier can move invoice details around so people don’t have to copy and paste.

• When an invoice lands in an inbox or folder, an invoice record is created automatically
• When the status changes to “Needs approval”, the right person is notified and their decision is logged
• Once it’s approved, it moves to finance or payment without anyone re-keying the details

Then, and only then, AI becomes useful. Tools like Copilot, Claude, ChatGPT or Gemini can help with things like:

• Quick summaries (what is this for, and does it match the PO?)
• Security checks (does this look like a scam, or a supplier change request that needs verifying?)
  • If needed, flag it for a manual check and confirm bank details via a trusted supplier number, not the one in the email
• Reconciliation support (what category does this expense fit into, and does it look like a personal expense slipped in?)
• Grant spend matching (matching expenses to the right grant budget lines and spotting anything that looks mis-coded)
• Spotting oddities (duplicates, unusual amounts, unusual suppliers)
• Clearer forecasts (because statuses and numbers finally line up in one place)

If you can move the invoice through those steps without retyping, you’ve already solved most of the problem.

Now the approval steps are automated, you can look at invoice capture. Because capture works best when you already know where the data needs to go and which fields you care about. Otherwise you just extract a lot of text… and still end up manually fixing it.

At this stage, tools like Dext or Xero can help pull the key fields out of PDFs and drop them into your process.

Keep it low-risk to start:

• Test it with your busiest suppliers first so you can learn what trips it up before you roll it out everywhere.
• Keep a quick check in place at the start (someone confirms the key fields), then ease off as it gets more reliable

It’s tempting to automate everything, especially when invoicing is doing your head in. Still, there are a few situations where the smartest step is to tidy one thing and save yourself a lot of hassle later.

For example, if you only process a handful of invoices a month, a lightweight checklist and one shared tracker can beat building flows that you then have to maintain.

Or, if approvals slow down because people are questioning whether the spend is allowed or whether the requester can be trusted, that’s a clarity/ownership problem first and automation comes second.

It’s also worth mentioning that if you’re changing systems soon (new finance system, ERP or even a reorganised approval chain), it’s usually not the moment to build lots of automation on top of today’s setup. You’ll probably end up rebuilding it all again in six months.

If you want AI to help with invoices, the fastest route is:

1. one home for your data
2. automated steps between tools
3. capture and only then AI on top

If you want a hand, we can help you make invoicing feel manageable.

You’ll end up with fewer manual touchpoints and invoices you can easily track from received to paid.