Celonis and Oracle collaborate to power Enterprise AI and accelerate IT modernization. Celonis, a global leader in Process Intelligence, announced a new phase of its long-standing collaboration with Oracle to help enterprises modernize operations and industrialize Enterprise AI, driving real business value. This collaboration enables companies to deploy the Celonis Process Intelligence platform on Oracle Cloud Infrastructure (OCI), and builds on existing integrations between Celonis and Oracle Fusion Cloud Applications. This collaboration enables companies to deploy the Celonis Process Intelligence platform on Oracle Cloud Infrastructure (OCI), and builds on existing integrations between Celonis and Oracle Fusion Cloud Applications. Joint customers can now analyze and optimize end-to-end business processes across finance, supply chain, and other core business functions. Combining the Celonis Process Intelligence Platform with OCI and Oracle Fusion Cloud Applications enables customers to: Apr 10, 2026 Prev Next 1 of 42,834 * Enhance AI-driven workflows by incorporating Celonis Process Intelligence into AI services running on OCI * Identify high-impact opportunities for automation and Enterprise AI adoption while tracking value realization over time * Orchestrate end-to-end processes across Oracle Fusion Cloud Applications, third-party applications, and custom solutions running on OCI * Support modernization initiatives by using Celonis Process Intelligence for analyzing, benchmarking, and reducing risk when migrating from legacy systems to Oracle Fusion Cloud ERP As demand grows for scalable and secure AI infrastructure, enterprises are increasingly standardizing on cloud platforms that can support data-intensive and mission-critical workloads. OCI delivers the performance, scalability, and security needed to run complex AI and enterprise workloads. Celonis provides an "intelligence layer" - a system-agnostic digital twin - that gives AI agents the ability to process data and deep operational context they need to move beyond simple automation to autonomous, business-critical execution. "AI agents are only as effective as the context they operate in - and Celonis Process Intelligence provides that foundation," said Bastian Nominacher, co-CEO and co-founder of Celonis. "Expanding our collaboration with Oracle allows customers to scale AI with confidence, grounded in a real-time understanding of their business operations." "Oracle Cloud Infrastructure is designed to run demanding AI and enterprise workloads with high performance and reliability," said Chris Gandolfo, executive vice president, Oracle Cloud Infrastructure and AI. "Together with Celonis, we are helping customers gain deeper process insights and accelerate modernization initiatives on a secure, scalable cloud platform."

Celonis has won the 2026 Innovation Challenge at the Association of Government Accountants Technology & Transformation Summit. The global process mining leader was recognised for its Audit Acceleration and Control Monitoring Solution, which modernises how government agencies detect risk and monitor internal controls. The solution uses process intelligence to continuously analyse transactional data, enabling agencies to monitor control performance in near real-time, detect violations as they occur, and identify root causes of audit findings. This shifts agencies from reactive audit remediation to proactive control monitoring. Selected by expert panel and voted on by attendees, finalists were evaluated on broad applicability, measurable impact and real-world feasibility. The solution initially focuses on accounts payable but can extend across financial and operational workflows.

Building autonomous AI agents on AWS with Celonis process intelligence. * AWS * solutions * customer stories building autonomous AI agents on AWS with Celonis process intelligence learn how Celonis and AWS combined process intelligence and agentic AI to autonomously orchestrate complex manufacturing workflows in the automotive industry. Overview. Celonis, a global leader in process mining and process intelligence, partnered with Amazon Web Services (AWS) to demonstrate how autonomous AI agents can be deployed to solve critical operational challenges in automotive and manufacturing environments. By combining Celonis's deep process intelligence with the scalable, serverless infrastructure of AWS, the two companies built an agentic solution capable of autonomously coordinating production schedules across fragmented systems and partner networks - dramatically reducing manual intervention and cutting lead times in order-to-delivery processes. About Celonis. Celonis is the global leader in process mining and process intelligence, helping organizations across industries uncover inefficiencies, identify root causes of operational bottlenecks, and take action to improve their processes. With a strong focus on automotive and manufacturing customers, Celonis leverages AI and data to transform how businesses operate at scale. Opportunity | aligning production schedules across fragmented systems in automotive manufacturing. In complex automotive manufacturing environments, aligning production schedules between multiple companies operating on different systems is a persistent challenge. Celonis identified a critical bottleneck in the order-to-delivery process: coordinating appointments between internal resources and external partners required significant manual effort, was prone to delays, and relied on human intermediaries to bridge disconnected systems. The core challenges were threefold: * Fragmented data sources spread across internal and partner systems * Multiple external partner systems requiring real-time coordination * Manual intervention by human operators to manage scheduling and communication between systems Celonis sought to build an AI agent capable of handling all coordination autonomously - retrieving order data, checking partner availability, and scheduling appointments - without human involvement in the loop. Solution | deploying autonomous AI agents powered by process intelligence and AWS. To address these challenges, Celonis and AWS co-developed an agentic solution built on Amazon Bedrock AgentCore, a serverless environment designed for deploying and scaling AI agents and MCP servers. The agent was built using the Strands SDK, AWS's open-source framework for building and deploying agents, and connected to external systems via the open MCP (Model Context Protocol) standard. At the heart of the solution is the Celonis MCP Server, which exposes a set of tools enabling the agent to: * Load all order data and identify orders ready for partner scheduling * Retrieve partner data and available resources * Apply customizations from partners to orders * Trigger action flows within the Celonis environment to write results back into the system The agent also connects to third-party systems - such as partner calendar APIs - to check availability and avoid scheduling conflicts. By cross-referencing data from both the Celonis environment and external systems, the agent autonomously identifies the optimal time slot and schedules the appointment, then writes the outcome back into Celonis via an action flow. The architecture leverages four key components of Amazon Bedrock AgentCore: * AgentCore Runtime: A serverless environment for deploying and scaling agents and MCP servers, supporting any open-source framework and protocol. It automatically versions runtime deployments and exposes them through a secure endpoint. * AgentCore Gateway: A centralized, secure hub for managing and exposing MCP servers and REST APIs to agents through a single unified interface - simplifying tool discovery, authentication, and orchestration at scale. * AgentCore Identity: A centralized identity and credentials management system that assigns each agent its own scoped identity, controlling both inbound access (which users can trigger the agent) and outbound access (which tools the agent can use). * AgentCore Observability: Full tracing and transparency of agent activity, logging every tool call, request, and response between the agent and downstream systems - enabling continuous process improvement by feeding logs back into the Celonis environment. Outcome | A scalable blueprint for autonomous process orchestration. The joint solution between Celonis and AWS demonstrates a scalable, trustworthy blueprint for deploying autonomous AI agents in industrial environments. By grounding agents in process intelligence - using process mining to identify bottlenecks, define guardrails, and feed agents the right context - organizations can ensure that AI acts purposefully and reliably within their operations. The observability layer provided by AgentCore enables a continuous improvement loop: agent logs are written back into Celonis, allowing teams to monitor agent behavior, validate outcomes, and refine processes over time. This closes the loop between AI action and process intelligence, ensuring that deployed agents genuinely improve operational performance. Looking ahead, Celonis and AWS see this architecture as a foundation for expanding autonomous orchestration across additional use cases in automotive and manufacturing - wherever fragmented systems, manual coordination, and complex partner networks create friction in critical business processes. It's AWS who builds the agent and Celonis who provides the playbook and the rules of the game. Peter Hofmann Applied Automotive Engineer at Celonis