Invoice extraction isn’t just “OCR + an LLM”. In production, the hard parts are exceptions, validation and integration.
Common failure modes
- inconsistent layouts and multi-page invoices
- missing fields and ambiguous totals
- OCR errors on low-quality scans
- line items that don’t match header totals
- supplier-specific quirks
What works in production
- validations (tolerances, checksums, mandatory fields)
- exception workflow (human review)
- quality reporting (precision/recall by field)
- integration patterns (ERP/accounting + approvals)
If you need this end-to-end, see Document intelligence and Process automation.
See proof from delivery in our case studies (e.g. MyZenCheck or Credizen).
To scope a pilot and define measurement, start with AI implementation (30/60/90 days) or contact us via contact.