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    "prose": "An EY report claimed that agentic AI could handle 80% of routine treasury tasks. [^1]\n\nThe author states that every AI agent built today eventually encounters a wall caused by memory limitations rather than a lack of reasoning power or coding ability. [^2]\n\nThe EY report noted that companies must first establish reliable data systems. [^3]\n\nThe same EY report said this would let treasury professionals focus on strategic work. [^4]\n\nAccording to the report, 60-70% of treasury bandwidth at mid-levels is currently spent on low-value activities including collecting data from different systems, manual validation, and preparing reports. [^5]\n\nThe Inside Ecommerce digital leaders series initiated a fresh perspectives session featuring industry experts from Boden, Commerce, and The Drapers. [^6]\n\nThe article advises developers to explicitly write down where the AI agent is permitted to access information and where it must stop. [^7]\n\nThe author recommends documenting how to verify that the AI agent has successfully completed its assigned tasks. [^8]\n\nThe author states that one of the first steps in creating an AI agent is to decide on a specific name for the model. [^9]",
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