Generative AI has undergone a profound transformation with the rise of agentic architecture and multi-agent frameworks. These novel approaches draw inspiration from decentralized systems, enabling AI agents to interact, negotiate, and collectively produce intricate outputs. In this session, we explore the emergent behavior exhibited by generative models through agentic architecture. We delve into the principles of multi-agent frameworks, where collaboration among agents leads to adaptive and scalable solutions. From solving complex tasks that require specialized skills to citizen service delivery that requires a multi-step workflow, these paradigms redefine creativity and adaptability in the generative AI landscape. Join us as we unravel the AI agents and their transformative impact on AI applications.