Presented by Kyriba Global Head of Market Strategy, Bob Stark
As AI adoption accelerates, Treasury teams need a clear roadmap to navigate what’s next. In this forward-looking session, attendees explored how rules-based automation, machine learning, generative AI, and agentic AI will converge to reshape treasury operations by 2026, and what you can start applying today.
The session emphasized a core reality: people with AI will replace people without AI. Treasury professionals must embrace AI not as a future option, but as an urgent capability tied directly to data strategy, trust, and governance.
Key Takeaways
- AI foundations in Treasury: Distinguishing rules-based automation, machine learning, generative AI, agentic AI, and how each adds value
- Use cases today: Fraud detection through payment quarantine, anomaly detection in cash flows, predictive cash forecasting, and conversational AI for treasury queries
- Agentic AI in 2026: Stitching tasks into end-to-end workflows (e.g., full daily cash or hedging processes), blending human oversight with AI decision-making
- The trust gap: Why security, privacy, and transparency are the biggest adoption barriers. How to align AI initiatives with enterprise policies
- Data-first strategy: Reinforcing that there is no AI strategy without a data strategy; APIs and connected data warehouses form the backbone for treasury AI success
Who Should Watch
Treasurers, CFOs, FP&A leaders, risk managers, and technology partners looking to build a practical, trustworthy AI roadmap for Treasury.