AI agents in production, under human supervision
Agentic AI is moving from pilots to production. The question is no longer whether AI can run logistics work, but how to put it into production responsibly.
On-demand session
What the session covers
This on-demand session walks through how InfoSun puts AI agents into live logistics operations: where they run, how humans stay in control, and how the work stays auditable. It is built for operations and technology leaders who want production results, not a demo.
- Where AI agents fit: re-routing, re-booking, status updates, exception triage, document processing.
- How human-in-the-loop control works: you set the autonomy threshold, edge cases escalate with a recommendation pre-built.
- Governance: guardrails, access controls, and a full audit trail on every action.
Why supervision is the point
AI agents execute the routine, repeatable decisions in production. People own the judgment, the exceptions, and anything that touches a priority client or breaches policy. That balance is what makes the work trustworthy and lets you remove 40-70% of manual effort without losing control.
- AI agents handle routine decisions in production; humans own judgment.
- You set the autonomy threshold; edge cases escalate with a recommendation.
- Every action is governed, access-controlled, and auditable.
- Typical result: 40-70% less manual effort on routine work.
AI agents run workflows, document every action, and learn, while experts design and supervise the operation. A human is in the loop at every step with a full audit trail, so judgment stays human and repetitive work is automated. The AI runs in production, not lights-out.
See what this looks like on your operation.
Request accessWritten and reviewed by the InfoSun operations team. Last updated July 14, 2026.