Representative End User Clients
Representative Automation Clients
Representative Software Clients
As logistics organizations explore AI agents, the central challenge is not simply deploying more autonomous capabilities. It is designing dependable workflows that define an agent’s role, available data and tools, decision boundaries, escalation paths, and accountability for each action.
Harness engineering provides the structure needed to turn isolated agents into operationally useful workflows. For supply chain leaders, the value of AI will depend on whether these workflows can operate reliably within established planning and execution processes.