Snowfox eliminates manual invoice coding with artificial intelligence

Finance teams using Snowfox reduce manual invoice coding by over 90% from day one. No rules to build. No templates to maintain. Just intelligent automation that learns from your data and gets smarter with every invoice.

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Snowfox Success in Numbers

90%

Invoice coding automation from go-live

Weeks

From connection to full deployment

€4–8

Cost per manual invoice eliminated

Why we built Snowfox

Snowfox started as an internal project at Braverdo Group, a leading provider of B2B and public sector services in Finland. We were processing 80,000 invoices per year with minimal automation, and traditional tools weren't solving the problem. So we built something different – self-learning AI that needs no rules, no templates, no maintenance.

The problem with traditional automation

Why rules-based systems can't scale

By the time we started building Snowfox, we'd tried the traditional approaches. Static rules that broke when suppliers changed formats. Template systems that only worked for recurring invoices. OCR engines that couldn't understand context. All of them required constant maintenance and specialist knowledge to keep running.

The finance teams we spoke with faced the same challenge – despite heavy investment in digitalisation, around 80% of non-PO invoices were still being coded by hand. It was slow, expensive, and frustrating for everyone involved.

So we took a different approach. Instead of building more rules, we built an AI that learns from your historical invoice data. It understands your coding logic, adapts to changes automatically, and improves with every invoice. No rules to maintain. No templates to update. Just intelligent automation that works.