As AI models increasingly become commoditized, the focus in enterprises is shifting towards developing robust data infrastructure for real business value through agentic AI, which involves systems that can plan, decide, and act autonomously. To overcome challenges such as disconnected data processing and complex multi-agent systems, Streaming Agents on Confluent Cloud have been introduced. These agents are designed to unify stream processing and AI workflows, allowing for real-time, context-aware automation by integrating seamlessly with existing tools, models, and data systems using familiar Flink APIs. Streaming Agents enable enterprises to continuously perceive and react to live operational events, providing secure, scalable, and replayable event-driven microservices that enhance intelligent automation. Key features include real-time reasoning, secure integration, and event-driven replayability, making Streaming Agents particularly well-suited for enterprise workflows by providing a unified platform that simplifies development and deployment of intelligent, context-aware agents.