Agentic AI represents a significant leap in artificial intelligence, moving beyond passive processing to autonomous action. It involves AI systems designed to perceive their environment, set goals, make decisions, and execute actions to achieve those goals, with minimal human intervention. This is achieved by combining advanced technologies like large language models (LLMs), machine learning, and reasoning capabilities, enabling these agents to adapt to dynamic situations and continuously learn. Unlike traditional AI, which typically operates within predefined rules, agentic AI exhibits a degree of independence, allowing it to navigate complex, real-world scenarios. This evolution opens up possibilities for automating intricate processes and solving problems that require adaptability and contextual understanding.