Meet the Experts
Key Takeaways
What you need to know
Agentic AI in treasury combines intent understanding with action-taking tools to unlock open-ended, dynamic scenarios for liquidity and risk management.
Kyriba’s TAI framework embeds governance, auditability, and human-in-the-loop oversight to ensure trusted, compliant decisions in high-stakes financial operations.
Over the next 3–5 years, autonomous, agent-to-agent AI will drive major efficiency gains across ERPs, banks, and treasury systems, freeing finance teams to focus on strategic work.
In this SAPinsider Expert Exchange episode, Kyriba leaders Dory Malouf and Félix Grévy unpack how agentic AI takes treasury and finance beyond traditional automation and basic generative AI. They explain how trusted, governed AI agents can understand intent, act across systems like ERPs and banks, and still preserve the human-in-the-loop oversight CFOs require. You’ll hear concrete proof points on value creation, practical guardrails for auditability and compliance, and a forward-looking view of agent-to-agent collaboration that frees finance teams to focus on strategy instead of manual work.