AI Agents Help Treasurers Move Faster
Corporate treasury sits at the intersection of every financial decision and every risk a company carries. The tools have improved over the years. The decisions have stayed human. Agentic artificial intelligence is beginning to change that. AI agents are now performing core treasury functions autonomously, from intraday liquidity decisions in wholesale payment systems to FX […] The post AI Agents…
AI agents are taking over routine treasury tasks, allowing finance professionals to work more efficiently. A study by the Bank for International Settlements and the Bank of Canada found that a generative AI agent, using ChatGPT’s reasoning model, is capable of performing intraday liquidity management in a wholesale payment system.
The agent was able to prioritize smaller payments over larger ones and adapt to more complex scenarios. The research suggests that routine cash management tasks could be automated using large language models, potentially reducing costs and improving liquidity efficiency. According to a survey of treasury leaders across EMEA, AI is shifting from experimentation to targeted implementation, with 63% expecting automated reporting and 35% expecting improvements in financial forecasting and planning.
Large banks like Goldman Sachs and Lloyds Banking Group are already deploying autonomous agents to handle core trade accounting, client onboarding, and fraud investigations. While the shift is seen as structural rather than incremental, banks are racing to integrate agentic AI into their operations, focusing on governance and reliable data to ensure successful implementation.
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