Agentic AI in logistics requires process orchestration and control

Camunda argues that agentic AI in logistics and transportation needs process orchestration to connect decisions, systems and human intervention. The key issue is not agent capability alone but whether workflows remain observable and controllable. Agent orchestration should define task boundaries, escalation, audit trails, retries and rollback when an agent cannot complete a decision safely.