AI added to a legacy process
~20% faster
AI speeds up existing steps, but the process still carries the same structural constraints.
Re-engineer processes for an AI-native world
ProcessOS is the intelligence layer of the Camunda platform, using specialized AI agents to discover how work really runs, redesign processes around the outcomes you want, and build and deploy them.
All business processes are legacy
Most business processes were designed around human work, existing systems, and constraints that predate AI. Adding AI can accelerate individual steps, but the structure of the process stays the same.
ProcessOS starts somewhere different: with the outcome you want. It uses AI to understand the process you have today, re-engineer what it should become, and turn that design into something you can run and improve.
Re-engineered AI-native process
Months → days
Danica redesigned customer onboarding end to end with Camunda, reducing a process that took months to days.
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ProcessOS tackles the real reason AI adoption stalls: we can't build tomorrow's processes using only what we know today. Transformation starts with a bold vision of the future.
Lily Wang
Managing Director, Barclays
CamundaCon 2026 opening keynote — Jakob Freund and Daniel Meyer
CamundaCon · May 2026
Watch the keynote
See the first public introduction of ProcessOS and why becoming AI-native requires more than automating the processes you already have.
Turn process transformation into a continuous system
ProcessOS is the agentic operating system for your business processes and the intelligence layer of the Camunda platform. Specialized AI agents work across the process lifecycle: discovering how work actually runs, re-engineering it around the outcomes you want, and building and deploying the new process you can improve with live production data.
Start with the outcomes
Describe the process in natural language, then define the outcome and KPIs that matter. ProcessOS uses that brief as ground truth to reconstruct the as-is process, design the to-be process, and generate what is needed to run it.
Cycle time | Manual effort | Quality | Cost | Throughput | Compliance
Design for the outcome, not the old process
ProcessOS works backward from the result you want instead of forward from the steps you already have. It can explore process variants, evaluate them against the KPIs you define, and help redesign how people, agents, and systems should share the work.
Turn the design into a working process
ProcessOS can generate and modify process-based solutions, including process models, integrations, data mappings, agent prompts, decisions, and UI forms, then move the approved design toward deployment on the Camunda platform.
Keep improving after go-live
ProcessOS evaluates live process performance against the outcomes and KPIs you defined. When it identifies an improvement, it can test the proposed change against historical process data and surface the evidence for human review before anything reaches production.
From kickoff to production in weeks, not quarters
Traditional process transformation can spend months on discovery, workshops, documentation, redesign, and build. ProcessOS applies AI across the lifecycle to compress that work while retaining what it learns for the next process.
- Discovery: 1–2 weeks, not months
- Re-engineering: 1 week
- Build and deploy: 2–4 weeks, not quarters
- Organizational memory captures decisions, systems, integration patterns, and edge cases.
- Each new process can move faster than the last because ProcessOS retains organizational context.
Structural redesign changes the process itself, not just the speed of individual tasks.
Finnova
70–80%
faster customer onboarding
Finnova redesigned an onboarding experience that took 15–30 minutes and depended on manual steps and scattered systems. The redesigned process reduced the same task to minutes.
R-KOM
Near-instant
ticket response time
R-KOM replaced a fully manual ticket-to-technician workflow with AI-agentic orchestration. Response time moved from an average of eight hours to near real-time.
An intelligence layer across the Camunda platform
ProcessOS works across the process lifecycle while Camunda provides the orchestration foundation for running the resulting processes. Teams work with ProcessOS through a coding agent such as Claude Code writing to the same Project Repository.
Platform architecture
ProcessOS sits as the intelligence layer of the Camunda platform, connecting discovery, re-engineering, and build & deploy to the processes running in Camunda.Working with ProcessOS
Architects and developers work with ProcessOS through a coding agent such as Claude Code, using ProcessOS Agent Skills. Their work writes to the Project Repository.Plugin model
ProcessOS can extend into the tools and process intelligence investments you already use. For example, process mining tools such as Celonis or MPMX can plug into discovery to enrich the operational picture rather than forcing teams to start over.
FAQ
What is ProcessOS?
ProcessOS is the intelligence layer of the Camunda platform. Specialized agents help discover how processes run, redesign them around desired outcomes, and build & deploy the new process. It is not a modeling tool or a monitoring dashboard; it is designed to make process transformation faster, repeatable, and continuously improvable.What is the difference between adding AI to a process and re-engineering it?
Adding AI can speed up individual steps in an existing process. Re-engineering starts from the outcome and redesigns the process around what AI, people, and systems should each do. The goal is structural change, not simply faster execution of the old workflow.How is this different from process mining?
Process mining shows how work is happening across operational systems. ProcessOS can use that intelligence, then go further by redesigning the process, building & deploying it, and continuously improving it. ProcessOS accepts inputs from various sources to discover the current process state. You can choose to feed it documentation, process models, and other operational data to provide the context needed before transforming the process in the next phase.How do architects and developers work with ProcessOS?
Teams work with ProcessOS through a coding agent such as Claude Code, using ProcessOS Agent Skills. Their work writes to the Project Repository.What is a fitness function?
A fitness function is a weighted scoring model built from the KPIs that matter to the process, such as cycle time, resolution rate, cost per case, and compliance rate. You set the weights based on what matters most in your domain. ProcessOS uses the function to evaluate process variants and proposed improvements against the outcome you defined.How does continuous improvement work?
ProcessOS monitors live performance against the fitness function. When it finds a potential improvement, it can backtest the change against historical process data—real cases, real edge cases, and real outcomes—and model the projected impact on the score before surfacing a proposal. A person reviews the evidence and approves the change. Proposed changes require human review and approval before they reach production.What is organizational memory, and how does it compound?
Organizational memory captures what ProcessOS learns about your environment, including systems, integration patterns, edge cases, and process decisions. It is stored in a private git repository and is not used to train shared models. Every process makes the next one faster. Each new process can become faster to transform—not because the tool itself changed, but because ProcessOS retains more context about your business.When is ProcessOS generally available?
ProcessOS is currently available as early access for developers and technical teams, with limited capacity for hands-on engagements. Tell us about a process you want to re-engineer and help Camunda prioritize access.