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Function · Finance

Artellis builds a tool that matches what it can and flags only what it cannot. You review the exceptions, not everything.

The pain

Why this one is worth fixing

You lose a day a month matching invoices to the bank statement, line by line. Most of it is boring and correct; the interesting bit, the one that doesn’t match, is buried in the 23 that do.

What Artellis builds

Matches what it can, flags only what it cannot. You review the exceptions, not the whole pile.

How it works
  1. 01
    Reads invoices and the statement
    Pulls line items, dates, amounts, VAT, including from PDF receipts, not just tidy CSVs.
  2. 02
    Matches, checks VAT, posts
    Clean matches post automatically with the right nominal and VAT treatment.
  3. 03
    Flags only the exceptions
    You get a short list of the ones that need eyes, with the reason each was flagged.
Example artefact
What the output actually looks like.
May reconciliation · 22 / 23 matched
1 exception to review
Matched: 22 lines · €41,830.20
Exception: Northline PO-00382 · invoice €1,240, statement €1,340 · €100 delta
VAT totals: 23% band OK · 13.5% band OK
You edit and send.
Where it plugs in
Xero / QuickBooks / SageBank feed / CSVDext / HubdocGoogle Drive
Guardrails
  • Human-in-the-loop: nothing sends, signs or spends without you approving it.
  • Your data stays yours, hosted in your tenant or a dedicated Artellis workspace, never used to train public models.
  • Week-one build: something small and useful is live in the first week, before we scope anything bigger.
Go deeper

The full page on this one: how invoices get read, matched against the bank, and which lines land in front of a person. Invoice processing automation.

FAQ
How long until we see something working?
A first working version of the finance tool inside week one. Refinement and rollout happen after you have seen it work against your real inputs.
What do you need from us to start?
About 45 minutes to walk through the current flow, sample inputs (emails, files, screenshots, whatever you actually work from) and one person on your side who owns the outcome.
What happens if the AI gets it wrong?
Every draft goes to a human before it leaves the building. When you correct it, the tool learns your standard so the next one lands closer to right.
Bring us this workflow
One workflow. One week. Something working.