Celonis

Celonis Process Intelligence & Agentic AI Infrastructure Review

The 2026 iteration of Celonis represents a shift from legacy case-centric mining to a Unified Process Intelligence Graph (PI Graph). The platform utilizes an Object-Centric Data Model (OCDM) to represent interrelated business objects—such as orders, invoices, and materials—enabling a 3D view of organizational flow across disparate ERP and CRM systems 📑.

Data Ingestion & OCDM Layer

Celonis manages high-velocity data ingestion through a hybrid strategy of real-time extractors and gRPC/REST connectors.

• Object-Centric Ingestion: Input: Event logs from SAP/Oracle/Salesforce → Process: Transformation into multi-object relationships within the OCDM → Output: Digital twin of end-to-end business operations 📑.
• Managed Persistence: Metadata and graph relationships are stored in a proprietary columnar engine optimized for OCPM; hardware-level acceleration specifics remain undisclosed 🌑.

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Process Intelligence Graph & Agentic AI

The PI Graph serves as the semantic layer that provides context to the AgentC suite, allowing AI agents to perform reasoning based on actual process constraints rather than static documentation.

• Process Copilot: Input: Natural language query (e.g., "Locate spare parts at risk of late delivery") → Process: Reasoning over the PI Graph and knowledge models → Output: Predictive insight and automated rerouting suggestions 📑.
• Agentic Automation: Action Flows can be configured with ACID-compliant modules to support two-phase commit/rollback for ERP write-backs 📑. Non-ACID modules (HTTP/Email) lack rollback guarantees 🌑.

Automation & Execution Engine

The Action Engine functions as the signal-driven orchestration layer, triggering workflows based on real-time deviations detected in the PI Graph.

• Action Flows: Low-code integration layer utilizing a drag-and-drop interface to combine native and third-party API modules for automated process optimization 📑.
• Security & Trust: Employs the Celonis Trust Center framework for AES-256 encryption, pseudonymization, and role-based access controls at the sandbox level 📑.

Evaluation Guidance

Technical evaluators should verify the following architectural characteristics:

• ACID vs. Non-ACID Modules: Audit all Action Flows that perform write-backs to core ERPs; verify if the target system connectors support the two-phase commit protocol for safe rollback 📑.
• OCDM Fidelity: Validate object relationship cardinality within the PI Graph to ensure multi-dimensional KPIs (e.g., lead time across 5+ objects) are accurate 🧠.
• AgentC Grounding: Organizations should request specific documentation on the grounding techniques used to feed PI Graph context to external LLMs to prevent hallucinatory actions in production 🌑.