A team of logistics AI agents, not one chatbot

How the agents work together

Signals arrive from email, EDI, the API, and telematics. An orchestrator routes each one to the right agent, agents work in parallel and hand off to each other, and anything that needs sign-off pauses at an approval gate. A rate confirmation, for example, goes to the dispatch agent, the planned load is watched by the visibility agent, and the delivered load is picked up by billing and then settlement.

• Signal → orchestrator → specialist agents → human approval
• Maintenance agent reads DVIR defects and fault codes and opens repair orders
• Settlement agent applies deductions and advances before human review

Enterprise controls for every agent

Agents run under roles you define and are bound by the same row-level permissions as your users — never broader. Money, safety, and customer-facing actions pause for a named person, configurable per agent and per account.

• Scoped permissions per agent
• Approval gates on money, safety, and customer messages
• Full audit trail of every input, tool call, and decision with its reasoning
• Per-agent budgets, concurrency caps, and a one-click stop

Why agents instead of a chatbot

A general chatbot can answer questions about your data. Specialist agents do the work: they draft the load, watch the truck, prepare the invoice, and tell the customer — while your team reviews exceptions instead of doing every step by hand.