Harnessing Agentic AI in Banking: Insights from Deloitte

Unlocking Banking Efficiency with Agentic AI

In the banking sector, merely enhancing legacy systems with AI isn’t sufficient; a robust “agentic by design” approach is essential. This methodology involves creating autonomous software tailored for banking functions, akin to microservices architecture, facilitating the introduction of specialized services that significantly enhance operational efficiency. Notable third-party solutions like Akka’s Agentic Platform and Microsoft’s microagents exemplify this strategy by enabling banks to build resilient, scalable systems from scratch.

Moreover, a comprehensive process redesign can unlock greater potential by strategically embedding agentic AI into workflows. This shift from traditional automation to innovative, AI-driven processes fosters adaptability and scalability, allowing banks to identify new revenue streams, reduce operational risks, and enhance customer service.

Utilizing these approaches not only paves the way for seamless integration of “invisible intelligence” but also democratizes advanced analytics across banking operations, ultimately delivering strategic value. By considering the right mix of these strategies, leaders can tailor solutions to their unique challenges.

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