"Central to this vision is the idea that process intelligence is the missing link between raw data and AI that actually creates value. Many organizations invest in models, infrastructure, and use cases, but get stuck when AI has to connect to real business operations. Without full context around processes, AI remains a black box with limited impact. Celonis wants to close that gap by mapping business processes in real time and turning them into an increasingly intelligent digital twin."
"Central to the approach is the Process Intelligence Graph: a digital representation of how processes actually run. Data is enriched with business context, after which organizations can analyze, simulate, and link automated actions to process steps. Whereas traditional process mining mainly looks back, Celonis wants to take a step towards real-time process control. This explains the entire shift from 'X-ray' to 'real-time MRI scan' in the company's business processes that its technology has undergone."
"According to Celonis, many AI initiatives fail because they do not sufficiently understand how organizations really function. Processes cut across systems, documents, and human decisions. Those who fail to see this connection risk deploying AI without control over its consequences. The company, therefore, positions process intelligence (PI) as a prerequisite for effective AI. Not only are ERP and CRM systems unlocked, but spreadsheets, PDF documents, manual actions, and knowledge from workflows are also integrated."
Process intelligence maps and contextualizes how organizations actually operate, connecting data across systems, documents, manual actions, and workflows to enable actionable AI. Many AI initiatives stall because models lack full process context spanning ERP, CRM, spreadsheets, PDFs, and human decisions. The Process Intelligence Graph creates a digital representation of real process execution, enriching data with business context for analysis, simulation, and linking automated actions to specific process steps. The approach shifts from retrospective process mining toward real-time process control, analyzing cross-process interactions to enable controlled automation and improved operational outcomes. The stated goal is to 'free the process' by providing continuous visibility and control over complex end-to-end flows such as order-to-delivery.
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