Agentic BPM fuses BPMN orchestration with AI agents that reason, map data, and invoke tools—all while keeping your process data safely outside the engine.

How does in-concert differ from Camunda?

in-concert's engine stores zero user data, pushing all logic to external handlers for flexibility, security, and AI integration—Camunda manages variables internally, hitting limits fast.

Will agentic BPM replace developers?

No—devs build the handlers, prompts, and integrations that make agents shine. It's augmentation, not automation takeover.

🤖 AI Dev Tools

Engine Knows No Data: Birth of Agentic BPM

Imagine a BPM engine so pure it touches nothing but an ID. That's in-concert, and it's rewriting agentic BPM from the ground up.

DevTools Feed Apr 11, 2026 4 min read

Diagram showing BPM engine separated from external data stores and AI handlers

⚡ Key Takeaways

in-concert keeps all process data outside the engine, using only an instanceId for pure scalability. 𝕏
Handlers enable AI agents as mappers for tool calls, blending BPMN structure with LLM flexibility. 𝕏
This stateless design mirrors the web's success, promising a new era of composable enterprise AI. 𝕏

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