Introduction With advancing artificial intelligence, we are entering the new frontier: the era of Agentic AI. Different from earlier AI models that wait for instructions from humans, Agentic AI is a term used to describe systems that are capable of thinking, planning, and acting on their own—just like having a human assistant but quicker, scalable, and more efficient. Legacy AI and early Generative AI were full of promise: they had the potential to solve enterprise challenges. However, they could not deliver fully autonomous solutions that could perform end-to-end processes and drive tangible business results. These old, rule-based approaches were able to perform straight-forward, repetitive tasks effectively—but because of their rigid framework, they were incapable of learning, adapting, and making choices. Consequently, they were unable to accommodate the dynamic needs of contemporary enterprises. These AI agents