By Luis Lopez, AI transportation consultant, CEO of Go Hub.io Holdings Corp and subsidiaries, and host of the Freight Guru Podcast
Phone work is a big part of freight. Brokers and dispatchers spend hours asking drivers where they are, confirming appointments, and talking to carriers about open loads. It is repetitive, and it is a natural target for AI voice agents: software that can place or answer a call, hold a spoken conversation, and log the result.
Some of this works well. Some of it backfires. As an AI transportation consultant, I think the useful question is not whether voice agents are good or bad, but which calls they are suited to and which they are not.
What a voice agent actually does
A voice agent combines speech recognition, a language model, and a text-to-speech voice. It listens to what the other person says, decides what to say next based on instructions you gave it, and writes the outcome into your system. It does not know your business beyond what it has been told and the data it can see. It can misunderstand accents, background noise, and unusual phrasing.
That last point matters in trucking. Drivers call from cabs, docks, and highway shoulders. Connections are poor and answers are often short, such as “about an hour out” or “still waiting on a door.” A good system has to handle that without pretending it understood.
Where voice agents help
Routine check calls
The classic use is the status check: where is the truck, is the pickup or delivery on schedule, and is there any problem. Many of these calls end in “all fine.” An agent can handle those and pass only the exceptions to a person, so staff time goes to the loads that need attention. This pairs naturally with predictive tracking, as covered in predictive ETA and freight visibility.
After-hours coverage
Freight does not stop at five o’clock. An agent that answers an evening call, collects the details, and logs a message for the morning team is better than a voicemail box, as long as it is clear that it is an automated system.
First-pass carrier screening
For inbound calls from carriers asking about an open load, an agent can collect basic information: equipment type, location, availability, and contact details. It can then hand off qualified callers to a person. This frees up brokers for the conversations that involve negotiation and relationship building.
Appointment and document reminders
Reminding a carrier to send a delivery receipt or confirming an appointment window are simple, structured tasks. They suit automation well.
Where voice agents hurt
Anything involving negotiation
Rate discussions depend on reading the other person, knowing the market, and deciding when to hold firm or give a little. A script cannot do that well, and an agent that commits to a price it should not have can create a real financial problem. Keep price decisions with a person.
Problem situations
If a driver reports an accident, a mechanical failure, a refusal at the dock, or a safety concern, the call needs a human being immediately. An agent should recognize these cases and transfer the call at once, not try to manage them.
Relationship-heavy conversations
Good carriers have choices. A carrier you have worked with for years may not appreciate being handled by a machine when they want to discuss a difficult load. Think about which relationships you cannot afford to cheapen.
Vetting and trust decisions
A friendly voice on the phone is not proof of identity. Voice agents should never be the only step in deciding whether to trust a new carrier. Fraud in freight is a serious problem, and the fraud-detection side of AI is discussed in AI freight fraud detection and carrier vetting. Verification of authority, insurance, and identity belongs in a documented process with human sign-off, as laid out in the discussion of double brokering and fraud liability.
Guardrails I would insist on
- Disclose that it is automated. People should know they are talking to a system. It is also the right thing to do, and some jurisdictions have rules about automated calls and recordings, so confirm your obligations with qualified counsel.
- Offer a person quickly. Any caller should be able to ask for a human and reach one without a maze.
- Set clear limits on authority. The agent should not be able to agree to rates, accessorial charges, or changes to a contract.
- Define escalation triggers. Accidents, injuries, theft, anger, and anything the agent does not understand should go to a person immediately.
- Record and review. Listen to a sample of calls every week, especially early on. Errors you never hear about do not get fixed.
- Write results to your system. A call that is not logged where staff can see it is a call that did not happen.
How to test one safely
Start with a narrow, low-risk call type, such as routine status checks on loads with no special handling. Run it on a small share of calls. Compare the information it collects with what a person would have gotten. Track how often a call had to be transferred, how often the driver was frustrated, and whether the data was accurate.
Ask the seller hard questions. How does it handle poor audio? What does it do when it is unsure? Where are recordings stored, and who can access them? Can you change the script yourself? A framework for these questions appears in how to evaluate an AI vendor for trucking and logistics.
Think about the driver’s side
Drivers are busy, often tired, and sometimes parked in places where talking is hard. A system that calls repeatedly, asks the same question in a stiff way, or cannot understand them will make them less willing to work with you. Measure the experience from their side, not only the time you save. A shorter, well-timed call that respects their time is worth more than a perfectly automated one that annoys them.
The bottom line is that voice agents are tools for structured, low-stakes, repetitive conversations. They are poor substitutes for judgment, negotiation, and trust. Use them to take routine calls off your team’s plate, and keep people on the calls where the outcome depends on understanding.
To hear more practical takes on freight and technology, subscribe to the Freight Guru Podcast.
About the author: Luis Lopez is a Miami-based AI transportation consultant and logistics entrepreneur, the CEO of Go Hub.io Holdings Corp and subsidiaries, and host of the Freight Guru Podcast.
