Celonis and Oracle have expanded their collaboration to make the Celonis Process Intelligence Platform deployable on Oracle Cloud Infrastructure (OCI). The move that positions the process mining giant as the contextual backbone for AI agents running inside Oracle Fusion Cloud environments.
The announcement also extends an existing integration with Oracle Fusion Cloud Applications and arrives as enterprises face growing pressure to extract measurable value from AI investments — not just automate tasks, but orchestrate complex, cross-functional workflows with real operational context.
What’s New in The Partnership
The deployment of Celonis on OCI means joint customers can now run process analysis and AI-driven optimization within the same secure, high-performance environment where their Oracle Fusion workloads live. It spans finance, supply chain, procurement, and more.
Beyond native Oracle applications, the integration reaches into third-party apps and custom OCI-built solutions, giving organizations a single lens across heterogeneous enterprise landscapes. For companies that are in mid-migration from legacy ERP systems to Oracle Fusion Cloud, Celonis adds process benchmarking and risk-reduction capabilities to what is often the highest-stakes, most error-prone phase of any ERP program.
Chris Gandolfo, Executive Vice President of Oracle Cloud Infrastructure and AI, said: “Oracle Cloud Infrastructure is designed to run demanding AI and enterprise workloads with high performance and reliability. Together with Celonis, we are helping customers gain deeper process insights and accelerate modernization initiatives on a secure, scalable cloud platform.”
Analysis
What This Means for ERP Insiders
Evaluate process intelligence as AI infrastructure, not a reporting tool. If an organization is building or scaling AI agents within an Oracle Fusion environment, the Celonis–OCI integration changes the procurement and architecture conversation. Process intelligence now operates at the infrastructure layer — assess it alongside cloud platform decisions, not as a standalone analytics line item. .
The Intelligence Layer Argument
The strategic framing from Celonis around AI is deliberate and worth unpacking. The company positions its platform as a system-agnostic digital twin. This means it is a live, structured representation of how a business really operates, as opposed to how its process documentation says it operates.
That distinction matters enormously for AI agents. A large language model or autonomous agent acting on ERP data without operational context can identify a transaction but cannot determine whether executing it would create a downstream exception, violate a business rule, or break a supplier commitment. Celonis’s argument is that process intelligence closes that gap.
As Bastian Nominacher, Co-CEO and Co-Founder of Celonis, noted, “AI agents are only as effective as the context they operate in — and Celonis Process Intelligence provides that foundation. Expanding our collaboration with Oracle allows customers to scale AI with confidence, grounded in a real-time understanding of their business operations.”
Analysis
What This Means for ERP Insiders
Use process benchmarking as a migration risk control. For teams in active Oracle Fusion Cloud migration, Celonis’s benchmarking capabilities offer a structured mechanism to identify process deviations and failure points before go-live. ERP customers should Build this into their migration governance framework as a formal risk-reduction step.
Why This Move Reflects a Broader Market Shift
Enterprise software vendors are converging on a common architecture question: where does the context layer for AI agents live? ERP suites hold transactional data; process mining platforms hold the behavioral and operational map. The vendor that owns that map holds significant leverage as agentic AI moves from pilot to production.
For Oracle’s ecosystem, Celonis now offers a pathway from descriptive analytics to prescriptive, autonomous action, bridging the gap that most AI-in-ERP implementations are currently stuck in. IT and finance leaders running Oracle Fusion, or planning a migration to it, should note that this integration reframes process intelligence as infrastructure rather than as an analytics add-on. This provides a meaningful elevation in how the capability is evaluated, budgeted, and governed.
Analysis
What This Means for ERP Insiders
Watch how Oracle’s ERP competitors respond. SAP, Workday, and Microsoft Dynamics all face the same context-layer problem for AI agents. This partnership raises the bar for what a credible AI-in-ERP story looks like. Decision-makers should pressure-test competing vendors on how they provide operational context to AI agents — not just what AI features they offer.
