Use case : automation
AI invoice processing
AI invoice processing reads invoices in any format, validates them against purchase orders and your accounting rules, codes them to the right accounts and posts them into your system, with anything unusual queued for a human instead of guessed.
The problem
Accounts payable runs on manual keying: every invoice read, typed, checked against POs, coded and filed. It is slow, error-prone, and scales linearly with the people you hire, while errors surface weeks later in reconciliation.
Systems it touches
How it works
The automated version, step by step.
- Receive
- Read
- Validate
- Code and post
- Audit
- 01
Receive
Invoices from email, portal or scans land in one intake pipeline.
- 02
Read
Layout-aware extraction captures supplier, line items, totals and references, on any template.
- 03
Validate
Three-way checks: PO match, totals, VAT/tax math, supplier records, duplicates.
- 04
Code and post
Matched invoices coded and posted to your accounting system; anything below confidence goes to a review queue with the source highlighted.
- 05
Audit
Every field traceable to its source location, with approver recorded.
What changes
AP becomes a review function instead of a typing function: straight-through processing for clean invoices, human attention only where it matters, and an audit trail that survives scrutiny.
Variations by industry
Extends naturally to receipts, expense documents, supplier statements and recurring billing verification.
Common questions.
Modern document models handle varied templates, scans and photos well, and we prove accuracy on your documents during a parallel run. The design principle is economic: high-confidence automation, cheap human review of the rest.
Xero, QuickBooks and major ERPs through their APIs, plus custom systems where an interface exists. Posting happens within your approval rules.
Duplicate detection and anomaly checks (unusual amounts, changed bank details, near-duplicates) run as validation rules, flagging for human review before anything posts.
Keep exploring
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