From 12 hours to 20 minutes on invoice entry
Logistics · Finance & Ops

From 12 hours to 20 minutes on invoice entry

12h→20min

Illustrative example. Figures are representative targets, not a specific client claim.

Invoice entry is the classic hidden tax on a finance team. The documents arrive as PDFs in a dozen different layouts, someone reads each one and retypes the vendor, line items, and totals into the ERP, and a single fat-fingered figure can trigger a wrong payment that costs far more to unwind than the entry ever saved.

Why it's slower than it looks

No two suppliers format an invoice the same way, so a human has to hunt for the same fields in a different place on every document. That constant context-switching is what makes a few hundred invoices a month eat days, and it's exactly the kind of work where attention slips and errors creep in.

The knock-on cost is reconciliation: when the ERP and the source document disagree, someone has to find and fix it at month-end, long after the mistake was made.

How we'd approach it

An extraction pipeline reads each invoice with OCR and an LLM, pulls out the vendor, line items, totals, and PO number, and validates them, format checks, PO matching, and duplicate detection, before anything is written to the ERP.

Confident, matched invoices post automatically; anything that fails a check, an amount that doesn't add up, a vendor it can't match, is routed to a person for a quick approve-or-correct rather than guessed at. The result is a clean audit trail showing exactly what was auto-handled and what needed review.

Challenge

Finance staff re-keyed data from thousands of PDF invoices each month, slow, error-prone and demoralizing.

Approach

An extraction pipeline reads invoices, validates against POs, and pushes structured data into the ERP with a human-review step for exceptions.

Result

Manual entry time collapsed from ~12 hours to ~20 minutes per batch, with fewer errors and a clean audit trail.

Takeaways
  • Validate every field against your records before writing, never post blind.
  • Route low-confidence items to a human instead of forcing a guess.
  • Keep an audit trail of auto-handled vs reviewed items for month-end and compliance.
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