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    "headline": "EY report says agentic AI could handle 80% of routine treasury tasks",
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    "prose": "An EY report claimed that agentic AI could handle 80% of routine treasury tasks. [^1]\n\nAgent memory is defined as information written to external storage during runtime and retrieved in later calls, distinguishing it from system prompts, conversation history, and static knowledge bases. [^2]\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. [^3]\n\nThe EY report noted that companies must first establish reliable data systems. [^4]\n\nThe same EY report said this would let treasury professionals focus on strategic work. [^5]\n\nAgentic AI can execute multiple operations across various systems within seconds, unlike humans whose impact is limited by reaction speed. [^6]\n\nEyal Alkalay, CIO of Verbit, stated that the solution to AI security concerns is not to slow down the application of AI. [^7]\n\nIf Agentic AI possesses excessive authority and receives malicious instructions, gets malware injected, or simply makes a wrong decision, the consequences will spread very rapidly. [^8]\n\nThe challenge for the industry and Verbit is to ensure that security, identity, authority, and monitoring develop at a speed equivalent to AI agents. [^9]\n\nAgentic AI systems are defined as networks of specialized AI agents. [^10]\n\nThe article asserts that real-world tasks are rarely solvable by a single agent. [^11]\n\nThe author states that when a single AI model is given a task, it performs quite well. [^12]",
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