Camunda announced ProcessOS, a new intelligence layer for its agentic orchestration platform. The announcement was made at the annual CamundaCon, the largest global agentic orchestration conference, in front of 1,200 enterprise leaders and technologists from 25 countries.
AI adoption in enterprise operations has stalled at the level of task assistance – recommendations, AI-assisted search, chatbots not truly empowered to act. Companies that want to lead in the decade ahead must go one level deeper: rethinking which tasks should be performed and who should perform them – agents or humans. Just bolting AI onto legacy processes compounds technical and organisational debt, adding complexity, fragility, and cost. AI-first process transformation must work backwards from outcomes, not forward from current reality.
"Every process in your enterprise is legacy – it was designed for a world where AI did not exist. This is why we are now entering the decade of 'the great re-engineering': every company will reinvent itself or die. The constraint is not access to AI but knowing where it belongs in your business and redesigning your operations and enterprise architecture around it." – Jakob Freund, CEO, Camunda
ProcessOS adds an AI-powered intelligence layer to Camunda's battle-tested agentic orchestration platform, which processes millions of concurrent workflow instances daily for some of the world's largest enterprises.
Discover existing business processes from existing knowledge and operational data.
Re-engineer legacy processes to leverage AI strategically and rethink how the process should work in an AI-first world, based on defined outcomes.
Continuously improve processes against key performance indicators.
ProcessOS uses the latest advances in agentic software development to generate and modify full process-based solutions – including agentic processes, integrations, data mapping, agent prompts, decisions, and UI forms – drawing on a growing catalogue of extensions on Camunda marketplace.
"The same shift that is happening to software development is coming for business operations. Developers used to write every line of code. Now AI writes more and more of it. Business processes are next. In ProcessOS, you describe the desired outcome in natural language, and then ProcessOS creates the process, deploys it, and continuously optimises it based on the business outcomes you defined." – Daniel Meyer, CTO, Camunda


