Enterprises Reinvent Processes for Safe Agentic AI Orchestration

Camunda introduced ProcessOS at CamundaCon in Amsterdam, held May 19-21, and presented an internal project that reworked its quote-to-cash workflow. CEO Jakob Freund argued that safe agentic systems require high levels of human approval and deterministic behavior, a concept he called “the power of agentic orchestration.” CTO Daniel Meyer characterized ProcessOS as “an agentic operating system” designed to reengineer processes and continuously optimize them for AI-driven use. Camunda’s CFO Clemens Morgenroth calculated the change freed about 6,000 person-hours, based on a previous average of five hours per deal.

An April industry report titled The adaptive process orchestration software landscape, Q2 2026, finds a market shift from task-level automation to platforms that orchestrate end-to-end processes at enterprise scale. The report observed vendors consolidating automation tools into orchestration backbones that combine process intelligence, modeling, execution, monitoring and data foundations. It also highlighted a focus on governance, auditability and hybrid execution models that support event-driven automation and human-in-the-loop controls.

Financial firms are testing agentic orchestration in operational settings. At the conference, Barclays outlined a pilot for client onboarding and due diligence that uses agent-based workflows. Lily Wang, CIO for wholesale client onboarding and group financial crime at Barclays, said ProcessOS addresses a barrier to enterprise AI adoption linked to legacy processes. Gautam Verma, head of financial crime core platforms and client due diligence technology, described a setup with three agents: one for collecting data from multiple sources, a data-intelligence agent to assess applicable policies, and an agent to carry out policy procedures. He noted the orchestration layer remains deterministic because the workflow spans multiple systems and handoffs and required end-to-end coordination to meet project goals.

Camunda demonstrated how an orchestration layer can coordinate agents that handle discrete tasks while preserving auditable decision points and human approvals. The company reported reduced cycle times and lower error rates after reengineering the quote-to-cash flow. Presentations emphasized the ability to pause automation for human input and to keep clear audit trails where adaptive AI is used for data gathering and analysis.

The Forrester report described common design patterns vendors are packaging into unified platforms: event-driven triggers, hybrid modes that let automation run alongside human work, and tooling for modeling, executing and monitoring workflows at scale. Vendors underlined governance and audit capabilities as requirements for regulated environments.

Conference sessions also addressed operational concerns about control, traceability and policy compliance. Speakers recommended keeping decision and approval layers deterministic while applying adaptive AI to tasks such as data collection and analysis to preserve accountability. Early adopters are using pilot projects to test integrations with legacy systems, measure time savings and track error reductions.