PandaShop cut support costs 88% with 2 AI voice agents ⚡️ Read the case study
Invoices

Invoices that process themselves

Invoice automation ingests invoices from every source - email attachments, scans, portals - extracts the data, validates it against your records, and routes each invoice to the right approver and accounting system with no retyping. Agensy ships it in 28 days: Ganea Group automated its whole pipeline, freed two full-time roles, and hit ROI in 4.5 months.

How automated invoice processing works

Automated vs. manual invoice processing

Automated pipelineManual processing
Per-invoice effortSeconds, unattendedMinutes of retyping each
Error rateValidation on every invoiceRises with deadline pressure
Cost modelFixed - volume peaks don't add headcountScales with hires
Audit trailComplete, automaticReconstructed when someone asks

What happens with a bad scan or a weird invoice?

It goes to a human review queue with the extracted data pre-filled - your team corrects in seconds instead of retyping from scratch. The rules for what needs review (unclear scans, amount mismatches, new suppliers) are agreed with you and pressure-tested with your real invoices before launch.

Proof

Ganea Group's two full-time invoice processors moved to work that needs judgment; the pipeline handles the volume, with ROI in 4.5 months - read the case study.

What it costs

Fixed project pricing agreed before we build. Invoice automation is one of the easiest ROI calculations in business - the manual cost is already visible in salaries and error corrections - so we can usually give a payback estimate on the free call. If the agreed KPI isn't hit by day 28, we keep building free until it is.

Still retyping invoices?

Book a free call - we'll usually estimate your payback period on the spot.

No commitment. If it's not worth automating, we'll say so.