Building Autonomous, Always-On Agentic Systems on Databricks

Agentic commerce could drive up to $1T in retail revenue by 2030, but the real opportunity spans every industry. Most agentic systems today are still reactive, relying on chat prompts. True transformation requires always-on, long-running agents that monitor data, reason through exceptions, and act autonomously.In this session, we’ll walk through how to build asynchronous, event-driven agentic systems on Databricks using a supply chain example. Learn how to move beyond chatbots to resilient, system-to-system workflows by orchestrating Structured Streaming, Model Serving, Lakebase, and Agent Bricks.Key takeaways:• A scalable design pattern for long-running, event-driven agents• Always-on anomaly detection with streaming + ML• Stateful task queuing and high-concurrency routing with Lakebase• Multi-step agent reasoning with tools and safe execution• Evaluation and human-in-the-loop escalation for edge cases