Celonis and Databricks Connect PI to AI

Celonis injects artificial integration deeper into operational processes and hitches its wagon to Databricks to deploy AI more broadly.

Celonis introduces multiple innovations to its Process Intelligence (PI) Platform at Celosphere 2025 to make AI more broadly deployable in business processes. At the same time, it announces a new partnership with Databricks, enabling companies to leverage their data faster and more efficiently for AI applications.

AI in Operational Processes

During its annual Celosphere event, Celonis demonstrated how companies worldwide are realizing tangible value using enterprise AI and process intelligence. More than 300 customers each achieved over one million dollars in value, and one hundred companies even exceeded ten million dollars. The German company thus provides a counterpoint to recent studies by MIT and others showing that AI projects primarily fail.

The core of the approach is the Process Intelligence Platform, which maps business processes through a digital twin of the organization. Thanks to new features like a multimodal digital twin, enhanced task mining, and AI assistants, customers can now analyze and automate their processes even more comprehensively. A new Orchestration Engine enables AI agents to collaborate with humans and existing systems.

Additionally, Celonis introduces the first Model Context Protocol (MCP) server that provides AI agents with real-time context for better decision-making. Partners are also building on the platform. For example, Rollio developed an AI agent that helps resolve process exceptions, and Trullion uses AI to automatically interpret lease contracts.

Eliminating Silos

In a new partnership with Databricks, Celonis connects its platform directly to the Data Intelligence Platform. This integration makes it possible to use live data without duplicating or moving it. Data can be shared in both directions while maintaining security and governance.

Companies can thus directly enrich process data from Databricks with their own operational context in Celonis. These insights are then sent back to Databricks’ AI agents, which in turn further optimize business processes.

With this step, Celonis aims to provide companies with a more integrated and flexible AI infrastructure. By collaborating more closely with technology partners like Databricks, Celonis responds to the growing demand for AI solutions that are deeply integrated with operational reality.