Citi is rolling out Agentic AI to enhance the productivity and efficiency of its 40,000 developers. This initiative aims to leverage artificial intelligence to streamline various development processes within the bank.

The article discusses the principles and methodologies for building agentic AI agents that can operate independently and effectively in various environments. It emphasizes the importance of designing these agents to understand and adapt to their surroundings, thereby enhancing their decision-making capabilities. Practical examples and frameworks are provided to guide developers in creating such intelligent systems.