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Case study · Invoice & AP Automation

Stop typing invoices. Approve only exceptions.

Every supplier sends invoices a different way. The system reads each email the moment it arrives, extracts every field with AI, matches it to the right document in your ERP and drafts the reply - your team reviews only the real exceptions.

99% matched3-model cross-checkERP-safe
Live reconstruction

Watch the AI mailroom reconcile a live invoice

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99%auto-matched
hours/wkentry removed
3 modelscross-checking
The problem

Every supplier sends invoices a different way

Every supplier sends invoices a different way - a PDF here, a link there, a scan buried in a forwarded email - and someone opens each one and re-types it. It is slow, it eats hours every week, and one mis-keyed figure can snowball into a supplier dispute weeks later.

What we built

An AI mailroom that reads, matches and drafts

A mailbox watcher reads invoice emails the moment they arrive. An AI extraction layer pulls every field - supplier, ABN, line items, totals, GST - and a matching engine ties each invoice to the right record in your ERP. Three AI models cross-check each other, and the system drafts a reply for anything that does not reconcile. Nothing gets re-platformed, no supplier changes how they send anything.

What changed

The outcomes, in plain numbers

  • 99% of invoices matched without a human touching them
  • Hours of weekly data entry removed
  • GST, totals, duplicates and mismatched lines checked on every document
  • Replies drafted automatically for anything that does not reconcile
  • Your team reviews only the short list of real exceptions
Why it matters

Could this be your workflow?

If supplier invoices still arrive by email and someone still types them in, this exact pipeline transfers - your ERP stays, the typing goes. The inbox that used to be a daily chore quietly runs itself.

Best for · finance teams, AP clerks, multi-supplier businesses

Have a similar workflow? Let's map it.

We start with a fixed-scope AI Opportunity Audit: we map where the hours and the risk actually are, then show you the one or two systems worth building first.

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