this session explores how enterprises can move from experimental AI agents to production-grade, cloud-native AI platforms. We will look at how Kubernetes, microservices, and event-driven architectures enable the orchestration, scaling, and governance of multi-agent systems. The talk covers key challenges such as agent lifecycle management, memory, tool execution, observability, and cost control. Attendees will learn how to design secure, resilient, and compliant AI platforms using modern cloud and DevOps practices. Real-world architecture patterns and lessons from enterprise environments will be shared to help teams run Agentic AI reliably at scale.