Paradigm shift: from rules-based to self-learning AI-based invoice automation in IFS
Self-learning AI is changing invoice coding automation for IFS users. Rules got invoice automation this far. AI is what takes it the rest of the way. See how it happens, on 24 September.
For years, rules have been the backbone of invoice automation in IFS and they got the job done, up to a point. But rules alone are starting to show their limits. In this 45-minute session we are going to explain why the ground is shifting from rules-based logic to self-learning AI across process automation and what that shift looks like in practice for invoice coding in IFS.
Why this matters now
Rules-based automation was the first step. It's dependable, but every new supplier, cost centre, or coding pattern means another rule to write and maintain.
AI flips that model: instead of being told what to do, it learns from how your team already codes invoices, and keeps improving the more it sees.
IFS is already building AI into more of its processes — this webinar is a chance to see exactly what that shift means for invoice coding, before it becomes the default everyone's expected to have already made.
What you'll learn
- Why rules-based automation is running out of road. A look at how rule engines work today, and where their limitations start to bite as invoice volume, supplier variety, and coding complexity increase.
- The paradigm shift happening across process automation. Why AI is becoming the default approach to automation across IFS, and what's driving that change.
- How self-learning AI automates invoice coding and workflow routing. A concrete walkthrough of how AI predicts invoice coding and authorisers inside IFS.
- What the results actually look like. Real outcomes from teams that have already made the shift from rules to AI-based invoice automation.
Agenda
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Part 1 — Where rules-based automation hits its ceiling
- How invoice coding rules actually work
- The challenges of rules — why rules alone can't get you to high invoice automation rates
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Part 2 — The shift to self-learning AI
- The paradigm shift: from rules to AI across process automation
- How IFS is building AI into almost every process
- How AI automates invoice coding, with a brief look at the Snowfox solution
- Real results: what teams have achieved with AI-based invoice automation
Your hosts
Tuomas Haapsaari
Chief Growth Officer, Snowfox
Tuomas works with finance and IFS teams across the Nordics to move invoice automation beyond rules and into self-learning AI.
Miikka Savolainen
Chief Operating Officer, Snowfox
Miikka leads Snowfox's operations and has overseen the rollout of AI-based invoice coding for IFS customers of every size, from first pilot to full-scale automation.
Who is it mainly for
AP managers & finance leaders
Currently running (or maintaining) a rules-based setup in IFS and wondering what comes next once the rule-tuning stops paying off.
IFS admins & ERP owners
Responsible for keeping automation rules up to date — and interested in an approach that reduces that maintenance burden rather than adding to it.
Digital transformation & automation teams
Exploring where AI fits into the broader IFS process automation roadmap, beyond invoices alone.