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Incoming invoices without typing — and with less and less AI cost

Invoices arrive by e-mail or upload; the system reads them and checks them against NAV data. From every verified invoice it learns the supplier’s “recipe”, so the next one is processed instantly, without AI.

Screenshots of the base version in the WeKeepOn look. Click a picture to enlarge it.

  • Incoming invoices: status, extraction method (recipe or AI) and NAV match
  • Review: the extracted fields with confidence, editable, then confirm and approve
  • NAV reconciliation: NAV Online Számla records next to the received invoices

The data in the screenshots is made up (fictional companies and people).

What the base version does

  • Self-learning supplier recipes

    Deterministic per-supplier extraction from the PDF text layer; the success rate is visible and a failing recipe switches itself off.

  • AI as a fallback

    For unknown suppliers or scanned invoices Claude reads the data — with per-field confidence.

  • NAV Online Invoice reconciliation

    Discrepancies flagged (amount, date, invoice number) and a “missing document” list of invoices NAV knows about but you never received.

  • Approval, export, bank

    Threshold-based approval, cost-centre rules, an accounting CSV with your own column order, and bank statement matching.

Examples you can add – at a fixed price

  • An accounting firm processing clients’ incoming invoices from one mailbox, with a checked export
  • Before month-end close, a list of supplier invoices that are in NAV but missing here
  • Automatic cost centre from the supplier and the line items

For every request like this you get a fixed price in advance, broken down point by point. Accepted points are covered by the contractual guarantee.

Always included

  • Login, users, roles and permissions
  • Separate test and live system
  • Daily backups, monitoring, bug fixes
  • A log of who changed what, and when

The base system (included with every module)

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