Generative AI has moved beyond the hype, and enterprises now face the challenge of turning prototypes into scalable solutions. Starting with a GenAI maturity model, you’ll learn how to assess your organization’s readiness and create a roadmap toward agentic AI adoption. You’ll master foundational topics such as model selection and LLM deployment, progressing to advanced methods such as RAG, fine-tuning, in-context learning, and LLMOps, especially in the context of agentic AI. This session introduces a concrete, hierarchical multi-agent architecture where high level Orchestrator agents manage complex business workflows by delegating entire sub processes to specialized agents. You’ll see how these agents collaborate and communicate using the Agent-to-Agent (A2A) protocol.