AI and e-invoicing: risk vs reward

Explore where AI can simplify invoice processes and where compliance still needs human expertise

What we’ll cover
Can AI help you prepare for e-invoicing mandates without adding compliance risk?

Join ecosio to explore practical uses for AI before, during and after e-invoice exchange. We’ll look at opportunities to improve invoice data and reduce manual work, how tax authorities are approaching AI and where expert oversight remains essential.

Topics will include:

• Preparing your invoice data: how AI can help map data from your enterprise resource planning (ERP) system to EN16931 and other structured invoice formats
• Improving invoice quality: opportunities to identify missing or inconsistent data and enrich invoices to help reduce rejections
• Supporting accounts payable: how machine learning can help spot unusual invoice patterns, reconciliation issues and process breakdowns
• Understanding the tax authority perspective: how authorities are using AI to analyse continuous transaction controls (CTC) data, identify anomalies and prioritise audits
• Knowing AI’s limits: the risks of relying on large language models (LLMs) and agentic AI to interpret regulations, track mandate changes or make compliance decisions

You’ll leave with a clearer understanding of where AI could benefit your invoice processes and which decisions need human expertise.