Corporate treasuries are starting to use AI to improve exposure visibility, strengthen cash-flow forecasting and reduce manual data work across ERP, TMS and bank sources. This session shows how AI can help clean and interpret transaction data, spot exposure patterns and highlight the drivers behind forecast changes. Discussion focuses on real-world use cases, common blockers such as data quality, and how AI can support treasury decision-making. 

** Closed-door & corporates only**

Corporate treasuries are accelerating the use of AI to strengthen FX risk management and improve how exposures are forecast, monitored and hedged day to day. From modelling exposure drivers and tracking movements in near real time, to improving hedge timing and execution efficiency, AI is becoming a practical tool for reducing FX-driven P&L, cash flow and balance sheet volatility. Alongside this, some corporates are selectively exploring stablecoins and alternative settlement rails to enable faster, more predictable cross-border payments and improved visibility over cash flows. This session brings treasurers together to discuss what is genuinely changing today, where adoption remains constrained by data, governance and scale, and how corporate operating models are evolving in response.