“Industrialize Enterprise AI. Make Enterprise AI work.”
Celonis connects data from enterprise systems to create a dynamic, context-aware view of business processes. Companies can analyze workflows, identify causes of delays or policy violations, run simulations, and automate actions. AI capabilities such as Process Copilot, machine learning, predictions, and agent integration make process knowledge accessible through natural language and operational applications.
Celonis
Industrialize enterprise AI. Make enterprise AI work.
Location: Germany ⓘ Celonis SE, Theresienstraße 6, 80333 Munich, Germany.
An officially promoted free option designed to help you get started with the platform and for limited process mining applications. Current self-service availability may be restricted based on your account or region and should be verified in advance. Subscription Custom Celonis Subscription
Enterprise contracts are based on platform scope, data volume, applications, users, processes, and support requirements; there is no public standard price list. Other Celonis Process Intelligence Platform Data Core, process data model, process mining, analytics, action and business apps, and integrations.
Process Copilot Natural language queries, process analytics, charts, summaries, and context-aware insights.
AgentC Suite for building, connecting, orchestrating, and governing AI agents with process context.
AI API / Intelligence API Integration of Celonis process knowledge and Copilot features into external applications, communication platforms, and agent systems.
Marketplace and Business Apps Preconfigured applications and process solutions for finance, supply chain, procurement, sales, manufacturing, and other areas.
Premium and Premier Plus Support Extended support, service, and maintenance models for mission-critical installations.
Consulting and Partner Services Implementation, process modeling, data integration, consulting, and industry-specific solutions provided by Celonis and its partners.
Celonis Academy Training and certification programs for users, analysts, developers, and implementation teams.
Celonis is a platform for process mining and process intelligence. It combines transaction and master data from business systems to reconstruct how processes actually unfold. This enables companies to identify delays, loops, deviations, rule violations, and opportunities for automation that often remain hidden in individual ERP or CRM reports.
Target audience
Celonis is primarily aimed at large enterprises, larger mid-market companies, shared service organizations, consulting firms, and teams focused on process excellence, finance, procurement, supply chain, sales, service, IT, and compliance. Technical users integrate data sources and develop data models; business departments work with analytics, applications, and copilots.
Outstanding features
The Context Model links processes, objects, metrics, and business rules into a usable business context. This enables generative AI not only to formulate general responses but also to access defined process models and metrics. Process Copilot can answer questions in natural language and generate relevant tables, charts, or process views. Administrators can manage model providers or integrate their own models.
Key Areas of Application
Typical areas of application include purchase-to-pay, order-to-cash, accounts payable, accounts receivable, procurement, inventory management, production, logistics, customer service, and IT service management. Celonis is used to reduce lead times, avoid lost discounts, identify delivery issues, reduce compliance violations, and automate manual work.
Usage & Notes
Implementing Celonis begins with selecting a clear process and connecting relevant source systems. Next, events, objects, metrics, and business logic are modeled. Only once this foundation is robust can copilots, predictions, and agents be provided with reliable context. Companies should pseudonymize employee data, assign roles restrictively, and not translate AI outputs into operational actions without verification.
| Target audience | Assessment |
|---|---|
| Individuals | No – Celonis is designed for complex business processes and enterprise systems. |
| Self-employed / Freelancers | To a limited extent – relevant for specialized process mining consultants, implementation partners, and data experts. |
| SMEs | To a limited extent – technically usable, but implementation, data integration, and governance can be costly for smaller companies. |
| Large enterprises | Very well suited – core target group for global processes, ERP landscapes, automation, and transformation. |
| Process Management / Operational Excellence | Very well suited – key target group for process analysis, root cause analysis, improvement, and control. |
| Finance / Procurement / Supply Chain | Highly suitable – supports, among other things, order-to-cash, procure-to-pay, inventory, delivery, and financial processes. |
| IT and Data Teams | Highly suitable – data integration, Process Digital Twin, APIs, AI agents, and integrations with ERP and automation platforms. |
| Developers / AI Teams | Yes – AI API, AgentC, and integrations enable custom copilots, assistants, and agent-based applications. |
| Organizations with critical data protection requirements | Well-suited – EU hosting, DPAs, SCCs, TOMs, pseudonymization, and non-training without written consent are significant advantages. |
| Regulated industries | Well to very well suited – comprehensive compliance documentation and certifications; however, specific processes and data must still be evaluated on a case-by-case basis. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment:
Enterprise cloud platform with EU data regions, on-premises extractors, and AI capabilities in the same region; not a fully self-hosted standard platform. Celonis operates its platform on infrastructure provided by Microsoft and Amazon. The location of the customer database generally corresponds to the customer’s region; according to the documentation, European customer data is hosted in the EU.
Hosting model: The core is SaaS. Data is extracted from ERP, CRM, database, supply chain, and other business systems and transferred to a process data model. On-premise extractors can transfer data from local SAP or JDBC systems. Local pseudonymization is possible prior to upload. A fully on-premise or self-hosted operation of the entire Celonis platform is not publicly listed as a standard model.
Data processing: Event logs, transactions, process steps, timestamps, order, invoice, procurement, delivery, inventory, and other business data are processed. Celonis combines this information with business context to create a digital process twin.
AI features: Process Copilot answers questions about process data and generates analyses, charts, and process views in natural language. AgentC provides tools, integrations, and orchestration capabilities for AI agents. Via the AI API, Process Copilots and process tools can be integrated into Teams, Slack, or external agent platforms.
Training: Customer data is not used by Celonis or any third parties involved to train generative AI models without express written consent. AI features can be completely disabled.
Security and Retention: Celonis offers encryption, configurable audit log retention, pseudonymization, and data deletion. The standard deletion of the customer database occurs within 30 days of contract termination.
Conclusion:
Celonis is particularly well-suited for large-scale, data-intensive business processes. Its architecture is privacy-friendly, as data is filtered and pseudonymized locally, only necessary attributes are transmitted, and AI features are enabled in a controlled manner.
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment:
Enterprise cloud platform with EU data regions, on-premises extractors, and AI capabilities in the same region; not a fully self-hosted standard platform. Celonis operates its platform on infrastructure provided by Microsoft and Amazon. The location of the customer database generally corresponds to the customer’s region; according to the documentation, European customer data is hosted in the EU.
Hosting model: The core is SaaS. Data is extracted from ERP, CRM, database, supply chain, and other business systems and transferred to a process data model. On-premise extractors can transfer data from local SAP or JDBC systems. Local pseudonymization is possible prior to upload. A fully on-premise or self-hosted operation of the entire Celonis platform is not publicly listed as a standard model.
Data processing: Event logs, transactions, process steps, timestamps, order, invoice, procurement, delivery, inventory, and other business data are processed. Celonis combines this information with business context to create a digital process twin.
AI features: Process Copilot answers questions about process data and generates analyses, charts, and process views in natural language. AgentC provides tools, integrations, and orchestration capabilities for AI agents. Via the AI API, Process Copilots and process tools can be integrated into Teams, Slack, or external agent platforms.
Training: Customer data is not used by Celonis or any third parties involved to train generative AI models without express written consent. AI features can be completely disabled.
Security and Retention: Celonis offers encryption, configurable audit log retention, pseudonymization, and data deletion. The standard deletion of the customer database occurs within 30 days of contract termination.
Conclusion:
Celonis is particularly well-suited for large-scale, data-intensive business processes. Its architecture is privacy-friendly, as data is filtered and pseudonymized locally, only necessary attributes are transmitted, and AI features are enabled in a controlled manner.
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Integrates AI with real-world process and business data | • Implementation and data modeling can be time-consuming. |
| • High transparency regarding process variations, bottlenecks, and root causes | • Value depends heavily on data quality, system access, and process definition. |
| • Scalable for large data volumes and complex organizations | • Primarily designed for enterprises and larger process landscapes. |
| • Object-centric model instead of isolated case-by-case analysis | • Pricing is calculated on a case-by-case basis and is difficult to compare publicly. |
| • Natural language via Process Copilot | • No publicly documented full on-premises operation of the current core platform. |
| • Robust integration and automation capabilities | • Generative AI does not automatically deliver reliable business decisions. |
| • Administrators can select or block individual LLM providers | • Additional Celonis or third-party components may be required for comprehensive governance. |
| • BYOM for more controlled model deployment | • Process data may involve extensive employee, customer, or supplier data. |
| • DPA, SCC, TOMs, and current subprocessor documentation available. | • Model availability and data protection depend on the selected LLM configuration. |
Reviews
0 reviews in total
There are no confirmed reviews for this tool yet.
Submit review
Your review will only become visible after email confirmation. This protects the portal against abuse.
Report review
Please select the reason why this review should be checked.
GDPR-compliant usage possible?
Overall assessment: Well-suited for GDPR compliance, subject to specific implementation and data sources. Celonis SE is headquartered in Munich and publicly provides a Data Processing Agreement, Standard Contractual Clauses, technical and organizational measures, an Information Security Annex, and an up-to-date list of subprocessors. According to official documentation, the platform is certified to ISO 27001, ISO 27701, and ISO 9001; current SOC 1 Type 2 and SOC 2 Type 2 reports are available via the Trust Center.
A positive aspect is that, according to Celonis, data from European customers is generally hosted in a data center within the EU. Transmissions are secured with at least TLS 1.2, and stored data is encrypted with AES-256. Personal data is not strictly required for process analysis—with the exception of account and log data. If it is needed, Celonis offers pseudonymization features; pseudonymization can be performed on the local extractor prior to upload.
A clear rule applies to AI functions: Celonis does not use customer data, prompts, inputs, or outputs itself, nor does it allow third parties to use them to create, train, or improve generative AI models, unless the customer expressly consents in writing. The AI features are optional and can be disabled. They are operated in the same region as the respective Celonis platform instance; for an EU instance, this means that the associated AI features and models are also hosted in the EU.
A negative aspect, or one requiring review, is that Celonis typically processes extensive ERP, financial, HR, supply chain, and event data. Depending on the use case, this may include employee, customer, or supplier data. The customer remains responsible for data minimization, legal basis, purpose limitation, and configuration.
Deletion: Data can be deleted upon request; audit log retention periods are configurable. The customer database is deleted by default within 30 days of contract termination.
Conclusion: Celonis offers a very strong foundation for GDPR and enterprise compliance. Key factors include data-minimal data modeling, pseudonymization prior to upload, role-based access controls, and a data protection impact assessment for employee or behavioral analytics.