The integration leverages Delta Sharing to exchange live data between platforms without copying or moving data, reducing duplication and silos while strengthening security and governance across multiple clouds and regions.

Databricks has introduced Agent Bricks, illustrating practical use cases for building AI agents in the integrated environment.

Celonis cites a broad enterprise value narrative with marquee customers like Mercedes-Benz, Uniper, and Vinfast, plus about 120 other value champions, each realizing more than $10 million in value from process-informed AI.

Arm’s Hobson Bullman notes the integration enables orchestration of people, agents, and systems to boost enterprise efficiency, signaling strong industry interest in operational excellence.

The collaboration shifts enterprise AI from purely data-driven analytics to context-driven intelligence to optimize performance, agility, and growth across departments.

Insights from the PI Graph can power Databricks Agent Bricks to build organization-specific AI agents, with outputs looping back into the PI Graph to continuously optimize operations.

Product highlights include Object-Centric Process Mining, an orchestration engine for coordinating AI agents end-to-end, the Process Intelligence MCP Server, and live-connection features linking desktop actions with business processes via task mining and AI-driven task discovery, including unstructured data integration.

Celosphere 2025 in Munich highlighted embedding Celonis Process Intelligence into agentic AI workloads and stressed that AI agents need process context to deliver enterprise value.

Arm and other industry stakeholders see the Celonis–Databricks collaboration as a path to better coordinating people, agents, and systems for improved business effectiveness.

Mercedes-Benz demonstrated practical value by using Celonis for order-to-deliver, aftersales, and quality management, while Vinmar showcased a digital replica to automate order-to-cash, identify distressed orders, and streamline handoffs.

A strategic partnership between Celonis and Databricks integrates process intelligence with data intelligence to enable enterprise AI that operates with real business context.

Market context shows a substantial share of firms are adopting or planning investments in process intelligence for business transformation.

The partnership aims to create a continuous learning loop where process insights guide AI actions, which in turn optimize processes within the PI Graph.

Celonis' Data Core is generally available and integrates with Databricks and Microsoft data lakes, with an expanding ecosystem including Wipro and Microsoft to deliver a composable enterprise AI environment.