On the back of a Point Zero roundtable discussion, Kimmo Soramäki explains why the first users of agentic payments will be simulated agents—and how AI-driven digital twins are transforming intraday liquidity management in RTGS systems.

AI assistants in commercial bank treasury functions often provide inaccurate insights because they rely on fragmented, outdated end-of-day reports rather than real-time data.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.

While traditional law enforcement focuses on prosecuting criminals, victims of APP fraud prioritize one thing: getting their money back. This article argues that saving those funds requires a fundamental shift toward real-time, cross-institutional infrastructure that operates at the speed of the payment itself.