Celonis has partnered with Databricks to connect process intelligence with data intelligence, aiming to make enterprise AI more effective by giving it real business context.
The partnership links the Celonis Process Intelligence Platform with the Databricks Data Intelligence Platform through Delta Sharing, Databricks’ open-source data-sharing technology. The bi-directional integration allows live data to flow securely between the two systems without duplication, reducing silos and synchronisation errors while improving governance.
With direct access to live data, organisations can use Celonis to build a digital twin of their operations through its Process Intelligence Graph (PI Graph). This digital twin helps identify inefficiencies and opportunities for improvement.
The process insights from Celonis can then be fed into Agent Bricks, Databricks’ AI development tool, to create production-grade AI agents based on real-time operational data. These agents, in turn, feed outcomes back into the PI Graph, forming a continuous improvement loop.
Marc Kinast, VP of corporate development at Celonis, explained that the goal is to give enterprises flexibility in how they deploy AI. “Databricks brings its secure, governed data infrastructure and industry-leading agentic development tools, and we bring our unique Process Intelligence that provides the operational context AI needs to succeed,” he said.
Meanwhile, Sarah Branfman, global VP at Databricks, spoke about how the partnership helps enterprises build AI that “truly understands their business”, allowing them to turn process insights into “real, intelligent action.”
Reflecting on the impact, Hobson Bullman, VP of operations at Arm, noted that combining Celonis and Databricks helps orchestrate people, agents, and systems “to make our business more effective and efficient”.
The integration is powered by Databricks Delta Sharing and Celonis Data Core, creating a unified foundation for continuously improving AI-driven operations.
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