Give Enterprise AI operational clarity

The Celonis Context Model

Enterprise AI has blind spots when it comes to how your business runs.

The Celonis Context Model provides operational context through a dynamic, real-time digital twin of operations, translating the reality of the business into a language that AI understands.

Combining process data, business knowledge, and intelligence, the Context Model gives your people and Enterprise AI the operational clarity to reason correctly, decide sensibly, and act reliably.

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Understand your operations

Complex operations in Supply Chain and Finance run across dozens of disparate systems, applications and devices. The Context Model integrates data from all of these into an agnostic digital twin of your operations.

The Context Model understands the relationships between all of the documents, materials, and people that make up your business and how they’re interconnected and interdependent. It encompasses both the current state of your operations and the full backstory of every step, interaction and decision that led to this moment.

Enriched with business knowledge and intelligence

The Context Model is enriched with business knowledge, the institutional know-how essential to every company, defining goals and objectives, how you work with customers and partners, industry best practices, and crucially, constraints and guardrails so AI stays on mission and in bounds.

With this foundation, it offers intelligence. Process intelligence, which tells you how your business runs and how to improve it. And Decision Intelligence, which provides predictions about what needs to happen next, and simulations of each scenario to make sure you achieve your goals. With this intelligence, your agents can both fix problems and prevent them altogether.

Open, extensible and future proof

The Context Model is designed as an open and extensible layer that you and your partners can continuously enrich with additional data, business knowledge, and intelligence functions.

Its open architecture allows organizations to integrate any data source, AI model, or agent while avoiding vendor lock-in and preserving their operational context as technologies evolve.