Samsara recently launched Agent Studio, a no-code AI agent platform designed to help physical operations teams automate reporting, anticipate compliance risks, and provide real-time support to drivers. After months in open beta, Agent Studio now is available to all customers, with tools for building custom chat and voice agents alongside prebuilt AI agents.

Adoption of AI agents across Samsara’s platform has increased sevenfold since June as customers expand their use of AI beyond reporting and fuel savings to more complex operational tasks. Within four weeks of launch, voice agents surpassed chat in interaction volume and have led every week since. Among organizations using voice agents, about 75% have increased weekly usage since deployment began, and more than half have at least doubled it.

Agent Studio uses operational data from vehicles, equipment, workers, and sites to help agents understand conditions and take action. The platform supports several use cases, including:

• Inspection and compliance reporting: Grand Isle Shipyard reduced report generation time by 99%, with reports completed in about five minutes per division.
• Predictive compliance: S. Bertram Foods uses an agent to flag hours-of-service risks three hours before a potential violation, cutting weekly manual review time by 84%.
• Driver identification: StreamTech Industrial reduced unassigned drive time by 500 hours over two months by identifying trips where drivers had not logged in.
• Fuel efficiency: A North American passenger transit provider's agent analyzes idle time to distinguish fuel waste caused by driver behavior from regeneration cycles, maintenance, and weather so managers know which vehicles to act on and why.
• Driver support: A food distributor uses a custom agent to answer questions about company policies, parking, personal conveyance rules, and fuel stops.

Samsara also offers Samsara Assistant for questions and actions within its dashboard, as well as Samsara MCP, which brings live Samsara data into supported AI tools under each customer’s existing permissions.

“AI is quickly adopted when it’s useful, and in physical operations that means an agent has to understand the operation and meet people where the work happens,” Johan Land, chief product officer at Samsara, said. “In the back office, that might happen through chat. On the road, it happens through a phone call. That is what brings an agent to life in the real world.”

What this means for the trucking industry

AI agents could help fleets reduce administrative workloads and identify operational risks earlier, giving managers more time to address problems rather than compile reports or review data manually. Voice-based tools also offer a way to provide drivers with company-specific guidance without requiring them to stop and consult a screen. For fleet executives, the practical value will depend on how well these tools fit existing workflows and translate operational data into timely, useful action.