White Paper
Agentic Orchestration for Scalable, Efficient AI: The Execution Layer for Policy-Aligned Government Automation
Agentic Orchestration for Scalable, Efficient AI: The Execution Layer for Policy-Aligned Government Automation
The August 2025 Camunda paper explains how agentic orchestration enables scalable, efficient, and policy-aligned AI automation in the public sector. It addresses common government challenges such as disconnected tools, fragile architectures, and rigid automation that struggles with change. The paper positions BPMN as the foundation and execution layer for orchestrating complex, compliant processes across systems and agencies. It highlights how agentic orchestration moves automation from static workflows to adaptive, event-driven execution while maintaining transparency and control. A government eligibility determination use case illustrates how agentic orchestration improves resilience, decision-making, and service delivery while adhering to policy and regulatory requirements.
