AI in Treasury: Useful, risky & already here?

How artificial intelligence is reshaping cash and treasury management?

AI is everywhere — but how much of the promise is real for treasurers today? Is it just rebranded automation, or can it genuinely improve forecasting, fraud prevention, and real-time decision-making? At the same time, risks around transparency, over-reliance, and security are growing fast.

This webinar brings together treasury, technology, and product experts to cut through the noise. We’ll explore what’s working in practice, where the blind spots are, and how treasury teams should prepare for an AI-driven future.

In this session, we'll cover:

Where AI and machine learning are already delivering tangible value in treasury
Practical use cases in forecasting, fraud detection, and liquidity management
Key risks: black box decisions, over-reliance, and AI-powered fraud
How treasurers can balance speed, safety, and control in an AI-driven world
The skills and organizational shifts treasury leaders need to prepare for
What to expect by 2030: mainstream adoption or fading hype?

Experts

Martijn Groenbroek, Senior Manager of GenAI Solutions, Zanders – Building and implementing AI into treasury tools, with a focus on real-world use cases and adoption.
Ari Valtaoja, CTO, Nomentia – Technology leader with deep expertise in enterprise and financial applications, governance, and risks.
Jan Beitner – Director of Data & AI, Inflexion, Leader in data and AI, advising on treasury digitalization and transformation, exploring how AI can move treasury from automation to insight.
Declan McDermott, Nomentia – Over 20 years in treasury, AR, and AP, helping global companies manage liquidity, risk, and technology change.