Agentic AI represents a significant advancement in artificial intelligence, characterized by autonomous systems capable of executing tasks independently through predefined trajectories, unlike conversational AI that requires ongoing human interaction. These systems extend traditional retrieval-augmented generation (RAG) frameworks by integrating enterprise data with generative AI models, thus optimizing productivity across global businesses. However, the successful deployment of agentic AI necessitates sophisticated orchestration, robust security protocols, and collaboration with expert partners to ensure enterprise-grade value is achieved through the optimal combination of advanced generative and retrieval models.