This session explores how Agentic AI is redefining automation with autonomous, goal-driven agents that are capable of planning and executing complex tasks in real time. To function reliably at scale, these systems require consistent, high-integrity data delivered through real-time, event-driven architectures—not rigid, point-to-point APIs. Apache Kafka and Apache Flink provide the backbone for true decoupling, enabling AI agents to operate independently while remaining synchronized with the broader enterprise environment. Combined with emerging standards like the Model Context Protocol (MCP) and Agent-to-Agent (A2A), this architecture supports scalable, context-aware, and collaborative AI systems that are ready for production.