Camunda is an orchestration platform for coordinating AI agents, people, and systems across business processes. See pricing, features, integrations, and…
Camunda is an open orchestration platform for coordinating AI agents, human tasks, and backend systems within a single governed business process. Built on the Zeebe distributed orchestration engine, it lets teams design workflows visually with BPMN, DMN, and Forms in Web Modeler, then execute them at scale with automatic retries, compensation, timeout handling, and durable state management. Camunda is vendor-agnostic, supporting any AI agent framework, LLM, or cloud provider, and ships with 500+ pre-built connectors (REST, Kafka, SAP, MCP) for integrating existing systems. Enterprise teams use Camunda to gain runtime visibility into process execution, enforce policy and approval controls over autonomous AI agents, and monitor cost, throughput, and SLA performance in real time. It is available as a fully managed Camunda SaaS offering or self-managed on Kubernetes, on-premise, or in air-gapped environments, and is used by large organizations for mission-critical automation in regulated industries.
Key Features
Zeebe distributed orchestration engine — Peer-to-peer orchestration engine with no central database, coordinating AI agents, humans, and systems in one governed BPMN-based process.
Web Modeler for BPMN, DMN & Forms — Visual process design with an AI Copilot and a marketplace of 500+ pre-built connectors (REST, Kafka, SAP, MCP).
Immutable audit trails and policy controls — Live instance viewing, incident resolution, immutable audit trails for compliance, RBAC with SSO/SCIM, and tool allow/deny policy enforcement.
Human-in-the-loop approvals — Approval and escalation paths so AI agents can act within defined guardrails alongside human task management.
Automatic retries, compensation & durable state — Automatic retries, compensation, timeout handling, durable state management, event streaming, process versioning, and canary rollouts.
Process and agent analytics — Real-time tracking of cycle time, SLA adherence, cost, agent quality, token cost, and throughput.
Flexible deployment options — Deployable as SaaS (AWS, Google Cloud, with region-locking) or self-managed on Kubernetes, on-premise, or in air-gapped environments.
Enterprise compliance certifications — SOC 2 Type II, ISO/IEC 27001, and GDPR compliance, with a 99.9% SLA for production workloads and TLS 1.2+/AES-256 encryption.
Pros & Cons
Pros
Vendor-agnostic orchestration that works with any AI agent framework, LLM, or cloud provider