AI assistants in commercial bank treasury functions often provide inaccurate insights because they rely on fragmented, outdated end-of-day reports rather than real-time data. FNA’s Intelligent Liquidity Optimization (ILO) Model Context Protocol securely connects AI models directly to live, intraday liquidity data without requiring massive core system overhauls.

FNA’s Phillip Straley explores the shift from manual payment throttling to automated liquidity optimization and real-time risk control in an evolving regulatory landscape.