Celonis powers 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Documented deployments include AI agents, copilots.
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Hyperscaler mix
Filter Celonis's implementations by cloud provider evidence.
How Celonis builds AIBuild, Buy & Compose — what they mean
Microsoft has transformed its supply chain by consolidating over 30 systems into a single data lake on Azure enabling AI-driven autonomous workflows. Over 25 AI agents handle tasks such as demand planning, spare-part space optimization, transport optimization, and invoice analysis. The system integrates simulations, digital twins, and AI-powered robotics to optimize warehouse and logistics operations.The platform uses technologies including Azure Machine Learning, Microsoft Fabric, Azure IoT Operations, Microsoft 365 Copilot, Microsoft Foundry, NVIDIA Isaac Sim, Azure Kubernetes Services, Microsoft Power Automate, and Celonis Process Intelligence Graph. It hosts AI agents able to reason, plan, and act, improving operational KPIs and saving hundreds of work hours monthly across Microsoft and partner warehouses.Physical AI robotics like humanoid robots are deployed for warehouse tasks and last-mile deliveries enhancing operational agility. Partners such as SoftServe and Celonis have implemented agentic AI and digital twin solutions, achieving significant productivity gains in pharmaceutical logistics and warehouse automation.
Uniper, a major player in the energy sector, collaborated with Celonis and Microsoft to undertake a comprehensive digital transformation of its business processes. The project aimed to achieve operational excellence, transparency, and streamlined workflows using advanced AI and automation technologies. By integrating Microsoft Copilot Studio, Power Automate, and Microsoft Fabric with the Celonis Process Intelligence platform, Uniper deployed AI-driven process orchestration across 27 mission-critical business functions. Over 350 users interact with the system, connecting to multiple enterprise data sources.The project involved end-to-end process improvements, from plant maintenance and HR to IT service management and financial reporting. Uniper realized tangible results, including increased workplace safety, shortened recruiting cycles, faster IT response, and enhanced reporting. The approach also set a blueprint for AI adoption in the broader energy industry.This collaboration demonstrates how the interplay of Celonis workflow intelligence and Microsoft AI technologies enables scalable, intelligent automation tailored for complex environments like energy production and distribution. The article details real-world outcomes, positioning Uniper as a leader in leveraging AI for large-scale operations.