AI for finance teams: invoices, collections, close and reporting
Finance
Native puts AI agents into accounts payable, receivables, reconciliation and the month-end close, inside the ERP your finance team already runs.
Where AI has an impact in finance
Invoice extraction
Every vendor invoice read whatever its layout, with each field tied back to its place on the page.
Three-way matching
Invoices checked against the purchase order and goods receipt, with mismatches queued and explained.
GL coding
Lines coded to accounts and cost centres from vendor history and policy, for a person to confirm.
Cash application
Incoming payments matched to open invoices from bank data and remittance emails.
- Bank reconciliation
- Close checklist
- Flux commentary
- Collections
AI helps a finance team by reading every invoice, statement and remittance the moment it arrives, matching it against the ledger, and handing people only the exceptions. Native builds those agents inside the ERP you already run, with a controller approving anything that posts. At Iyuno, invoice processing went from days to minutes at 99.9% field-level accuracy.
Case study · Iyuno
Iyuno cut invoice processing from days to minutes.
Native helped Iyuno build an extraction engine that reads the invoices reaching its finance team, whatever the format, at 99.9% field-level accuracy. It gave the team back over 250 hours.
Frequently asked questions
How can AI help a finance team?
AI reads invoices, statements and remittances, matches them to the ledger, prepares close schedules and drafts commentary. People keep approvals, adjustments and anything that needs judgement, and spend less time keying data.
Can AI automate accounts payable?
It can automate most of the work in accounts payable: reading the invoice, matching it to the PO and receipt, and coding it. Payment release stays with a person, inside the approval limits already set in your ERP.
Is AI accurate enough for financial data?
Built properly, yes. Two independent reads of each document checked against each other, plus validation against the ledger, catch the errors one pass would miss. At Iyuno, field-level accuracy reached 99.9%.
Will AI agents post journal entries?
Not on their own. Agents prepare entries and schedules with the evidence attached, and an accountant reviews and posts them, so segregation of duties and the audit trail stay intact.
What finance process should we automate first?
Usually AP invoice intake, because the volume is high and the result is easy to check. Cash application and the reconciliations that delay the close tend to follow.
