Celonis has launched the Celonis Context Model (CCM), a new approach aimed at equipping enterprise AI initiatives with a more thorough operational perspective on how businesses operate in real time. The company also revealed a binding agreement to purchase Ikigai Labs, a decision intelligence AI firm, to enable its platform with more accurate forecasting, simulation and planning.
This statement highlights an emerging challenge for the industry: despite the proliferation of AI adoption, many companies haven’t yet been able to give their new systems the operational context they need to actually make scaleable, creditable decisions.
In fact, as Celonis points out: The CCM aims to solve this by developing a dynamic digital replica of enterprise functions, consisting of all the process data, business applications, systems and communications across the enterprise to allow the AI agents to better understand the flow, make decisions and automate tasks more effectively.
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“AI is only as good as the context it has. Every organization needs to give its Enterprise AI a holistic, living model of how a business truly operates. This has never been possible until now, with the Celonis Context Model,” said Carsten Thoma, Celonis President. “And with Ikigai Labs, we’re making our market-leading platform even stronger: extending its intelligence beyond how your business runs today to how it should — and could — run tomorrow. This is what every enterprise needs to make AI work and deliver meaningful returns.”
Ikigai Labs acquisition brings cutting-edge decision intelligence features developed based on research at MIT, including forecasting, causality, and scenario simulation. Celonis stated that the acquisition will allow companies to predict disruptions, plan better, and make decisions through artificial intelligence with confidence.
Several enterprise executives pointed out the need for operational context for reliable use of AI solutions. Executive representatives from Cardinal Health, Cosentino, and Mondelez International stressed that AI solutions must have accurate insight into the processes involved to ensure reliable results.
Celonis further pointed out that the CCM is compatible with leading enterprise solutions and AI frameworks such as Amazon Web Services, Databricks, Microsoft, and Oracle.