An AI agent is software that observes operational context, chooses actions, and uses connected tools to complete a defined goal within rules, authority limits, and human approval requirements.
How an AI agent works in freight
A freight AI agent can monitor a DAT inquiry, email, TMS event, location update, or schedule. It gathers the relevant load context, applies the operator’s rules, takes permitted actions, and escalates decisions that exceed its authority.
Unlike a chatbot that only responds with text, an implemented agent participates in a governed workflow: it can read and update systems, send approved messages, preserve an audit trail, and hand control to a dispatcher, carrier representative, or broker when judgment is required.
Related terms
Agentic Workflow
An agentic workflow is a coordinated sequence in which one or more AI agents interpret events, use connected systems, make bounded decisions, take actions, and involve people at defined control points.
Human-in-the-Loop
Human-in-the-loop is a control pattern that requires a person to review, approve, correct, or take over an AI agent’s work at defined points in a workflow.
Workflow Guardrail
A workflow guardrail is an explicit rule that limits what an AI agent may decide or do, defines required evidence, and determines when work must pause or escalate to a person.
Automate this workflow
DAT Inquiry to Office 365 Load Intake Automation for Freight Brokers
Turn raw DAT inquiries into structured, ready-to-work loads inside Office 365 automatically.
Automated Appointment Scheduling for Freight Brokers
Book and confirm pickup and delivery appointments automatically, without the phone tag.
AI Load Building Automation for Freight Brokers
Turn customer tenders and emails into clean, ready-to-cover loads automatically.
Never miss the next freight call.
FastFreight Voice answers as your brokerage office, captures structured freight details, and routes the summary to the right broker while the opportunity is live.