Celonis is the Munich process-mining pioneer whose AI analyzes how work actually flows through a company and automates the fixes that save time and money.
Celonis pioneered process mining: pulling event data from ERP and IT systems to reconstruct real business processes, then exposing where they stall, rework or leak value. Its platform now layers AI on top — predicting delays, recommending actions and triggering automations — so finance, supply chain and service teams can improve operations continuously. Used by a large share of the world’s biggest manufacturers and banks, Celonis has become the reference platform for process intelligence.
Celonis is sold through enterprise agreements priced around data volume and platform modules; prospects work with its sales team on scoped value assessments.
Global enterprises in manufacturing, finance, healthcare and telecom that want to find and fix operational inefficiency at scale.
Celonis is where operational complexity hides money: order-to-cash bottlenecks, procurement leakage and service backlogs.
Value engineers scope a first process with the customer’s data, quantify the opportunity and connect systems to build the first process model.
Enterprises routinely uncover eight-figure inefficiencies and then close them with automation — insight and action in one closed loop.
Value engineers scope the first process, connect data sources and quantify impact before full rollout; enterprise support accompanies scaling across business units.
Success depends on data quality and organizational follow-through, and pricing places it firmly in enterprise territory.
Operations leaders describe the visibility into real processes as transformative once embedded in daily work.
No. Celonis is an enterprise platform; evaluation engagements are arranged through its sales and value-engineering teams.
Yes — data ingestion, process queries and action triggers are all exposed through APIs and connectors to major enterprise systems.
Against BI dashboards or RPA alone, Celonis shows root causes across end-to-end processes and couples insight with automated action.
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