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Agent-based AI in banking
Agent-based artificial intelligence in the banking sector relies on systems' ability to act and adapt independently to achieve specific goals, without requiring continuous human intervention. This accelerates processes such as fraud detection, compliance automation, credit risk assessment, and coordination of operations across different systems. This type of AI is used to improve the customer experience and reduce operational costs, with potential cost savings of between 15% and 20%, while increasing the speed and accuracy of financial decision-making. It differs from traditional automation in its ability to analyze context, interact with multiple systems, and perform tasks continuously and flexibly, thereby enhancing operational efficiency and boosting compliance and security levels.
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