What are Agentic Workflows?
Aug 6, 2026

Summary
This post introduces the concept of 'Agentic Workflows' and details how Databricks is enabling them. It explains that agentic workflows involve AI agents that can autonomously plan, execute, and iterate on tasks. The post highlights the technical aspects of building these workflows, including the use of tools, planning mechanisms, and execution environments. It also touches upon the challenges and opportunities in deploying and managing these complex AI systems, emphasizing the need for robust infrastructure and orchestration capabilities. The post specifically mentions the integration of AI agents into production lines for real-time fraud prevention and the development of a self-serve infrastructure vending machine for the agentic era.
More from the Agent Performance and Cost Optimization trail
- Real-Time Retail Intelligence: Building E-Commerce Recommendations with Lakebase and AI Search on Databricks
- How to scale agentic applications without creating AI sprawl
- How Databricks rolls out frontier models to 12,000 employees on Day 1
- How Databricks rolls out frontier models to 14,000 employees on Day 1
- Health Plans: Your BI Tells You MLR Moved. Can Your AI Tell You Why?