Enterprises Reengineer Workflows for Agentic AI at CamundaCon

Camunda presented ProcessOS at its annual CamundaCon in Amsterdam, May 19–21. The company described the product as an agentic operating system for running AI-driven agents within business processes. About 1,100 people attended the conference.

An April report from analyst firm Forrester identified a shift from task-level automation to enterprise-scale process orchestration. The report found vendors are consolidating automation tools into orchestration backbones that combine process intelligence, modeling, execution, monitoring and data foundations. The research emphasized governance, auditability and hybrid execution models that support event-driven automation and human involvement.

Camunda CEO Jakob Freund told conference attendees that safe customer-data agents require strong human approvals and deterministic controls, calling those traits “the power of agentic orchestration.” He said most organizational processes were designed before AI became widely available and need redesign for AI-enabled operations.

Camunda CTO Daniel Meyer described ProcessOS as an “agentic operating system” that reengineers and continuously optimizes business processes for AI. He said the company rebuilt its quote-to-cash workflow on ProcessOS, removing manual handoffs and spreadsheet steps. Camunda CFO Clemens Morgenroth provided a time-savings estimate, saying the revised process frees roughly 6,000 person hours based on a prior average of five hours per deal.

Banking firms at the conference discussed practical uses for agentic orchestration. Lily Wang, CIO for wholesale client onboarding and group financial crime at Barclays, told attendees that ProcessOS addresses barriers to AI adoption in large organizations and that current processes can stall transformation. Gautam Verma, head of financial crime core platforms and client due diligence technology at Barclays, outlined the bank’s use of multiple agents for onboarding: one agent for collecting data across sources, a data-intelligence agent to assess policies and procedures, and a third agent to execute policy steps. Verma said the workflow uses a deterministic orchestration layer to manage multiple systems and handoffs end-to-end.

Conference speakers and the Forrester report highlighted consistent requirements for agentic orchestration: integrating adaptive AI agents with rule-based controls, maintaining audit trails and governance, and supporting hybrid execution where humans approve and oversee outcomes. Vendors described orchestration platforms as central systems that bring together process modeling, execution, monitoring and data to replace fragmented automation stacks.

Camunda presented ProcessOS as a platform for reengineering processes that were created before AI capabilities were available. Barclays and other attendees provided examples of early deployments that combine agentic AI with deterministic orchestration and governance.