What we need to see
A sample of supplier invoices, matching purchase orders and delivery notes, including disputed or duplicate invoices.
Manufacturing, trades, retail and hospitality · Automated invoice matching
Automated invoice matching software for UK SMEs: match supplier invoices to purchase orders and delivery notes, flag discrepancies, and keep human approval.
Tell us the task, your current tools and where the work gets stuck. We will help you choose a sensible first scope.

A sample of supplier invoices, matching purchase orders and delivery notes, including disputed or duplicate invoices.
Compare review time and correctly matched lines against your current process, including exceptions and posting errors.
Your finance team agrees tolerances, VAT treatment and posting permissions. Uncertain matches wait for review.
If your team is still matching invoices by hand, the problem is usually not the invoice itself. It is the chain around it: purchase orders in one system, delivery notes in another, supplier invoices arriving by email, and someone in the office trying to decide whether the numbers line up.
Automated invoice matching software fixes that chain. It reads the supplier invoice, compares it with the purchase order and goods received record, then flags the differences that actually need a human.
For a small or medium-sized business, the point is not to remove approval. The point is to stop experienced staff spending hours checking routine invoices that are already correct.
Send the current process: where invoices arrive, where POs live, and who approves payment. We will say whether AI is a fit or whether a simpler fix is better.
At its simplest, invoice matching software checks whether a supplier invoice agrees with the records already inside your business.
Most teams need one of three patterns:
The workflow usually looks like this:
That final point matters. A useful invoice matching system should not silently approve messy invoices. It should remove the routine work and make the exceptions easier to judge.
Traditional accounts payable tools often work well when invoices are clean, supplier formats are predictable and the finance system has good structured data.
AI helps when the real world is messier:
For Kingsland Fabrications, we built invoice and PO matching as part of a wider production system. Supplier invoices are read, matched against purchase orders and goods received data, and anything unusual is surfaced for review. Work that previously took hours is compressed into a minutes-class exception review, with a person still making the final decision.
That is the kind of result we look for before recommending a build.
Automated invoice matching is most useful when supplier paperwork is frequent, repetitive and important enough that mistakes cost money.
Good fits include:
It is usually not the best first automation if you only receive a handful of invoices a month. In that case, a better checklist, approval rule or finance-system setup may be enough.
The common checks are:
The system can then send clean data into Sage, Xero, QuickBooks, a spreadsheet, a job system or a bespoke ERP, depending on how your business works.
Before spending money on invoice matching software, gather a small evidence pack:
That is enough to decide whether the project is worth building, where the first version should stop, and what should stay manual.
Buy off-the-shelf software if your process is standard, your invoice volume is high, and your accounting platform already supports the workflow you need.
Consider a custom build when:
Most sensible projects start small. One supplier group, one document flow, one approval queue. Once that is working, it can be expanded.
For a fabrication-specific version of this workflow, see Invoice and PO matching automation for fabrication companies.
For the wider technical service, see AI document processing or custom AI software.
If you want us to look at your invoice process, use the invoice matching quote route. We will tell you straight whether AI is the right first move.
Invoice matching software checks supplier invoices against purchase orders, delivery notes or goods received records. It extracts the invoice data, compares the records and highlights mismatches before payment approval.
Yes. AI is useful when supplier invoices arrive in different layouts or formats. It reads the document, extracts fields and checks them against your business records. A human should still approve low-confidence matches and exceptions.
Three-way matching compares the invoice, the purchase order and the goods received note. It answers three questions: what did we order, what arrived, and what are we being charged for?
No. It removes routine checking and makes exceptions easier to review. Your team still controls approval, supplier conversations and judgement calls.
A focused build usually starts from a few thousand pounds when the workflow is narrow and the data is accessible. Larger projects cost more when they need finance integration, supplier rules, approval workflows or multiple document types.
This system was built and is running in production for Kingsland Fabrications. Real results, real business, not a demo.
Invoice matching software checks supplier invoices against purchase orders, delivery notes or goods received records. A good system extracts the invoice data, compares quantities, prices, VAT and references, then routes clean matches for approval and flags discrepancies for a human.
Yes. AI is useful when supplier invoices arrive in different PDF layouts, scans, email attachments or spreadsheets. The AI reads the document, extracts the relevant fields and checks them against your PO or goods received data before anything is approved.
Three-way invoice matching compares the supplier invoice, the purchase order and the goods received note. It checks whether what was invoiced matches what was ordered and what actually arrived.
A focused invoice matching build usually starts from a few thousand pounds if the process is narrow and the purchase order data is accessible. Cost rises when the system needs deeper finance integration, supplier-specific rules, approval workflows or multiple document types.
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