Celonis is an operations platform for enterprise AI, positioned to provide the operational context needed for enterprise AI, thereby successfully achieving operational transformation and creating value.
[Purpose] The core goal of the Celonis platform is to "make enterprise AI work." Enterprise AI has blind spots in understanding how the business operates. Through the Context Model, Celonis combines end-to-end process data, business knowledge, and intelligence to provide the operational clarity that people and agents need, enabling them to reason correctly, make sound decisions, and act reliably.
[Main capabilities]
- Context Model: Combines end-to-end process data, business knowledge, and intelligence to fill the missing link in the enterprise AI technology stack.
- AI-related capabilities: Give AI business flow context; strategically deploy AI, identify high-impact AI use cases, and measure RoAI; integrate AI into operations, orchestrating people, agents, and existing technology to drive outcomes.
- AI-driven supply chain transformation: Improve service levels (such as increasing on-time in-full delivery, reducing stockouts, and improving supplier reliability), optimize working capital (accelerating slow-moving inventory, reducing and reallocating excess inventory), optimize load consolidation, and reduce operating costs and spot purchasing.
- Enterprise IT modernization: Align, plan, and execute modernization strategies based on objective information about the state of the enterprise rather than intuition; make enterprise AI work, supported by real-time operational context, deployed where it can produce measurable impact, and seamlessly integrated into existing systems and workflows; migrate with confidence, simplify the digital core by distinguishing true differentiation from technical debt, reduce migration risk, and continuously sustain value after go-live.
- Finance and shared services: Improve cash flow (optimize payments, accelerate collections, prevent duplicate payments and overspending), increase productivity (automate operations, improve cycle times).
- Process excellence: Understand how processes actually run, and identify the most impactful opportunities to implement improvements and deploy AI; run process simulations, predictions, and what-if scenarios; redesign operations to incorporate enterprise AI, redesign processes based on deep process insights, and define workflows, outcomes, guardrails, and best practices; continuously monitor process performance, compliance, and agent activity, and orchestrate AI to work in concert with people and systems.
[How to use] The materials mention entry points such as "Explore our solutions" and "Go to the platform," but do not provide specific registration, installation, or operating steps, and detailed information is not yet available.
[Applicable scenarios] Industries such as supply chain, manufacturing, banking, and automotive; enterprise IT modernization; finance and shared servicesservices; process excellence and process optimization, etc. The platform has also announced information such as being a Leader in the 2026 Gartner Magic Quadrant for Digital Twin of an Organization Platforms and a Leader in the 2026 Everest Group Process Mining PEAK Matrix (for the seventh consecutive year), and mentions resources such as Celosphere 26 tickets and related e-books.
[Limitations] The materials do not provide specific pricing models, prices, platform support details, technical limitations, or usage thresholds, and such content is not yet available.
