Bank of the future: automation of processes with the help of AI agents

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Automation of treasury operations improves efficiency, reducing transaction costs with AI agents in banking.
AI technologies transform liquidity management by automatically ranking payment orders, optimizing cash flow.
A conceptual design approach for integrating AI agents considers technological and organizational conditions.
Digital transformation in banking can leverage existing infrastructure to enhance operational processes without radical overhauls.

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Analysis demonstrates automation with AI agents enhances decision-making in treasury, reducing transaction costs and aiding liquidity management.

T. N. Zverkova (2025) studied this question.

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Analysis demonstrates automation with AI agents enhances decision-making in treasury, reducing transaction costs and aiding liquidity management.