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Celonis has introduced the ‘Celonis Context Model’ or CCM, alongside plans to acquire Ikigai Labs, a company focused on AI-driven decision intelligence. The move targets one of the biggest problems enterprise AI is running into right now. AI systems can process data, but most still do not actually understand how businesses function in the real world.
Celonis is calling this the ‘context gap.’ Companies are deploying AI agents everywhere, but without operational context, those systems struggle to make reliable decisions or produce measurable business outcomes. CCM is supposed to solve that by creating a real-time operational model of how a company works across systems, workflows, teams, and business processes.
The acquisition of Ikigai Labs adds forecasting, simulation, and predictive modeling capabilities into that stack. The business implementation of AI enables companies to solve operational issues through reactive measures while using AI to forecast potential problems which they can test through various situations to make better decisions before actual problems occur.
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The bigger shift here is happening across enterprise software. AI is moving beyond chatbots and copilots into process-level execution. But trust is becoming the bottleneck. Companies want AI that understands dependencies, timing, workflows, and business logic instead of generating isolated answers without context.
Celonis is basically betting that the next AI battleground inside enterprises will not be the model itself. It will be the operational layer sitting underneath it.
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