Celonis, Databricks Partner to Add Live Process Intelligence to Enterprise AI
Celonis and Databricks just announced they’re teaming up to push real-time process insight into enterprise AI. The idea is simple: give companies a live view of how work actually moves instead of leaning on static reports. Celonis, which maps and fine-tunes business processes, will plug into Databricks’ data platform - the one many big firms trust for security and governance.
In theory, the combo should hand AI models the context they need to react to what’s happening now, not just old data. It’s a shot at solving the old problem of turning raw data into useful action, something a lot of data-heavy firms still wrestle with. As the partnership rolls out, leaders from both sides keep stressing how their strengths fit together.
“Databricks brings its secure, governed data infrastructure and industry-leading development tools, and we bring our unique Process Intelligence that gives AI the operational context it needs,” said one executive. Sarah Branfman, global VP at Databricks, added her take on the deal…
"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.
Can this partnership really close the loop between data and process? Celonis and Databricks have hooked their platforms together with Delta Sharing, so live data can slip from Process Intelligence into Data Intelligence - and back - without a copy being made. The two-way flow is supposed to break down silos and make syncing easier, something both companies stress in their press releases.
“Databricks brings its secure, governed data infrastructure and industry-leading development tools, and we bring our unique Process Intelligence that gives AI the operational context it needs,” an executive said. Sarah Branfman, global VP at Databricks, nodded, pointing out the collaborative vibe. Still, I’m not convinced the impact on enterprise AI is clear yet; firms will have to weave the two stacks into their existing pipelines, and it’s hard to say how fast that will happen.
The design looks solid, but whether the promised efficiency gains show up across different use cases remains to be seen.
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Common Questions Answered
What is the primary goal of the Celonis and Databricks partnership for enterprise AI?
The partnership aims to embed real‑time process insight into enterprise AI, giving companies a live view of how work actually flows instead of relying on static reports. This live context helps AI models make more informed, context‑aware decisions.
How does Delta Sharing enable the integration of Celonis Process Intelligence with Databricks’ data platform?
Delta Sharing provides a secure, bi‑directional data exchange that moves live data between Celonis’ Process Intelligence and Databricks’ Data Intelligence environments without duplication. This seamless flow reduces data silos and ensures that both platforms stay synchronized in real time.
What specific capabilities does Databricks contribute to the joint solution?
Databricks brings its secure, governed data infrastructure along with industry‑leading agentic development tools. These capabilities ensure that data is managed safely, complies with governance standards, and can be leveraged efficiently for AI model training and deployment.
According to Sarah Branfman, how does the partnership help enterprises build AI that truly understands their business?
Sarah Branfman says the collaboration lets enterprises turn process insights into real, intelligent action, enabling AI to grasp the operational context of business workflows. This deeper understanding allows AI systems to make decisions that are aligned with actual business processes.