Webinar: Where AI Can (and Can't) Help with E-Invoicing Mandates - 7 Things to Know
Dates & Times
London
14 Oct 2026 - 10:00
New York
14 Oct 2026 - 05:00
San Francisco
14 Oct 2026 - 02:00
New Delhi
14 Oct 2026 - 14:30
Description
As e-invoicing mandates continue to roll out worldwide, many organizations are looking to LLM, agentic AI and other AI methodologies to help manage the complexity.
From preparing ERP data for EN16931-compliant invoices, to identifying anomalies, enriching invoice data, and supporting AP workflows, AI potentially simplifies key parts of your compliance journey.
But at the same time, relying on AI to interpret evolving regulations or monitor mandate changes can introduce significant risk.
In this webinar we will explore where AI can support organisations before, during, and after go-live. We will also explore how tax authorities are beginning to use AI to analyse the vast volumes of Continuous Transaction Controls (CTC) data they now receive.
This session will help you understand where AI can deliver measurable benefits and where human expertise remains critical.
You'll learn:
- How AI can accelerate e-invoice readiness by helping map ERP data to EN16931 and other structured invoice formats
- Where AI can improve invoice quality by identifying missing or inconsistent data before invoices are sent
- How machine learning can detect unusual invoice patterns, reconciliation issues, and process breakdowns across AP
- How AI can support invoice enrichment and reduce costly invoice rejections
- How tax authorities are using AI and CTC data to identify anomalies and prioritise audits
- Risks of using AI to manage or interpret regulatory requirements
- The practical strengths, limitations, and risks of using AI throughout your e-invoicing compliance journey
This balanced discussion will help you identify where the technology can genuinely support compliance, improve operational performance, and prepare your organisation for the next generation of digital tax controls.
Speakers

Philipp Liegl
Managing Director, ecosio

Sarah Fane
Head of Content, sharedserviceslink






