en.Wedoany.com Reported - Process intelligence company Celonis has announced the acquisition of decision intelligence company Ikigai Labs and the launch of the Celonis Context Model (CCM), aimed at providing real-time business process knowledge for enterprise AI models.
As global enterprises integrate AI and agents into their workflows, they face the question of whether AI understands everything or has critical blind spots. To address this challenge, Celonis has introduced CCM, a customization layer designed to deliver real-time, actionable business process knowledge to enterprise AI models. The process intelligence company has also signed a definitive agreement to acquire Ikigai Labs, which specializes in AI-driven decision intelligence and will bring predictive, planning, and simulation capabilities to the platform.
Carsten Thoma, President of Celonis, stated that the effectiveness of AI depends on the context it has, and every organization needs to provide enterprise AI with a comprehensive, dynamic model of its real-world operations. Celonis noted that enterprise AI systems lacking the operational context required to correctly interpret business processes are hindering companies from realizing returns on their AI investments. Through the acquisition of Ikigai Labs, Celonis aims to expand its platform capabilities from how enterprises currently operate to what is possible in the future.
CCM is designed to enhance the credibility of AI agents in enterprise environments. Celonis positions operational context as the missing link, enabling AI agents to transition from the experimental stage to digital employees capable of executing real processes. CCM's solution involves creating a dynamic digital twin of enterprise operations, unifying process data and business knowledge from various systems and interactions, and transforming them into a structured model that AI agents can use for reasoning and action. This shifts AI tools from isolated insights to coordinated actions across the enterprise.
CCM is significant for large organizations with complex global operations that require consistency, governance, and precision to ensure safe AI deployment. Celonis views CCM as a foundational layer in the enterprise technology stack, positioned between raw data systems and AI execution platforms, connecting operational data, business rules, and decision logic. The Celonis platform integrates with AWS, Databricks, Microsoft Fabric, Oracle, and leading CRM platforms, and connects with AI agent frameworks such as Amazon Bedrock, IBM watsonx Orchestrate, and Microsoft Copilot.
The acquisition of Ikigai Labs expands Celonis' AI capabilities. Ikigai's technology, built on nearly two decades of MIT research, specializes in structured data modeling, prediction, and large-scale simulation.
Devavrat Shah, co-founder of Ikigai Labs, MIT professor of Artificial Intelligence, and Chief Scientist of Enterprise AI at Celonis, stated that Ikigai Labs has proven foundation model technology for large-scale structured data, while Celonis encodes enterprise processes, and the combination provides a comprehensive representation of business operations. Ikigai's capabilities are designed to help enterprises shorten planning cycles and predict operational outcomes with higher precision. Integrated with CCM, this helps organizations shift from reactive analysis to proactive decision-making. By modeling future scenarios, enterprises can anticipate disruptions and optimize processes before issues arise. Celonis can now support the development of trusted AI agents based on operational history and predictive intelligence. Devavrat said that with CCM, AI agents possess hindsight, insight, and foresight, enabling them to intelligently adapt and deliver expected business outcomes.
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