Hey Celonis Community!
Have you ever wondered why so many enterprise AI projects get stuck in the pilot phase? The truth is, frontier AI models are incredible generalists, but they often have a massive operational blind spot: they don’t actually know how your specific business operates on the ground!
Without real operational context, AI models are left guessing and in business, guesswork doesn't scale.
That is exactly what Celonis is solving! At the recent Process Intelligence Days (PI Days) India 2026, Celonis revealed how we are bridging this gap to help organizations transform AI from a generic assistant into a trusted operational specialist.
🧠 Here are the big takeaways every Process Miner should know:
- The Celonis Context Model (CCM): Celonis launched CCM as a smart operational intelligence layer. By combining process data, business rules, and decision intelligence, CCM creates a real-time digital twin of enterprise workflows. As Celonis President Carsten Thoma put it: "The CCM gives AI the operational context it needs to become a specialist of your operations – one that you can trust to reason, decide and act reliably for your business."
- Autonomous AI Agents with Ikigai Labs: Celonis has signed a definitive agreement to acquire Ikigai Labs (a MIT-research-backed Decision Intelligence specialist)! Combining Process Intelligence with Decision Intelligence means AI agents won't just suggest actions—they'll be empowered to execute complex enterprise workflows autonomously and reliably.
- Industrializing AI at Scale: With over 760 leaders attending PI Days India, companies with massive Global Capability Centres (GCCs) are actively moving from small AI experiments to full-scale operational transformation. Heavyweights like Hitachi Energy, Mondelez International, Mercedes-Benz, and Ingka Group (IKEA) are leading the charge!
- Plugged Into Your Ecosystem: Celonis isn't trying to replace your tech stack—it makes it smarter! Deep integrations with tools like Amazon Bedrock, Microsoft Copilot, IBM Watson Orchestrate, Anthropic’s Claude, Databricks, and Microsoft Fabric allow you to bring operational context straight into the platforms you use every day.
Without deep business context, enterprise AI risks staying stuck in experimental mode. By giving AI systems a clear view into real-world business execution, Celonis is opening up whole new possibilities.
How is your organization planning to bring operational context to your AI tools this year? Are you looking into AI agents, or integrating process intelligence into your daily workflows?
Drop your thoughts, questions, or ideas below!
Read the complete article on Business India: How Celonis is solving AI's operational blind spot.