Camunda, Barclays Rework Processes to Orchestrate Agentic AI
Camunda introduced ProcessOS at CamundaCon, saying it freed about 6,000 person-hours from its quote-to-cash workflow. Barclays is piloting ProcessOS for onboarding and due diligence.
Camunda unveiled ProcessOS at CamundaCon in Amsterdam, held May 19-21 with about 1,100 attendees. The company described ProcessOS as a platform that models, runs and continuously optimizes business processes for an AI-first environment, replacing manual handoffs and spreadsheets with an orchestration layer that mixes deterministic workflows and AI-driven agents.
Daniel Meyer, Camunda chief technology officer, called ProcessOS “an agentic operating system” that reengineers processes and continuously tunes them for AI. Jakob Freund, Camunda chief executive, said a safe customer-data agent requires strong human approval and predictable behavior, a combination he referred to as “the power of agentic orchestration.” Clemens Morgenroth, the company’s chief financial officer, reported that reworking Camunda’s quote-to-cash flow shortened cycle times, reduced error rates and freed about 6,000 person-hours, based on a previous average of five hours per deal.
Barclays is testing the platform to redesign customer onboarding and financial-crime checks. Lily Wang, CIO for wholesale client onboarding and group financial crime at Barclays, told the conference that ProcessOS addresses a common reason enterprise AI projects stall: existing processes were designed before AI and cannot simply be layered with new models. “We can’t build tomorrow’s process using only what we know today,” she said.
Gautam Verma, head of financial crime core platforms and client due diligence technology at Barclays, described a multi-agent approach intended to shorten due diligence that can take months. The bank built a data-collection agent to gather information from multiple sources, a data-intelligence agent to assess which policies and procedures apply, and a third agent to carry out those procedures. Verma noted the orchestration layer is deterministic to coordinate multiple systems and internal handoffs. “We needed to orchestrate it completely end-to-end to achieve the goals that were set for us,” he added.
Analyst research published this spring described a shift from task-level automation to enterprise-scale process orchestration, with vendors consolidating process modeling, execution, monitoring and data foundations into a single backbone. The research highlighted an emphasis on governance, auditability and hybrid execution models that support event-driven automation and human-in-the-loop controls.
At the conference, Camunda and Barclays presented the platform as a way to reengineer legacy processes rather than simply adding AI components to existing workflows. Executives described the approach as intended to lower manual effort, improve accuracy and keep human approval and audit trails within process flows.





