Motive, an artificial intelligence platform dedicated to physical operations, has launched Agents, a new solution designed to automate responses to safety and maintenance alerts across fleet operations. Announced Monday at the American Trucking Associations’ Management Conference & Exhibition (MCE) in Charlotte, North Carolina, the technology enables fleets to define rules that trigger actions such as contacting drivers, creating work orders and notifying managers.
Unlike conventional AI tools that primarily identify trends and deliver insights, Motive Agents are designed to act on operational data. The company confirmed that the solution is now available to its customers. The launch follows the introduction of Automations, a similar rule-based tool previewed at Motive’s Vision 26 conference in May.
Although fleet operators have access to increasingly detailed operational data, translating alerts into timely interventions remains a challenge. Managers still spend considerable time reviewing notifications, contacting drivers and manually checking whether corrective measures have been completed. These processes consume hours each week and become harder to sustain as fleets expand.
For operators, adopting AI Agents also raises a question of trust: how much authority should software have to act on their behalf?
Bennett Family of Companies, which tested the technology before its official launch, initially limited its Agents to internal notifications rather than direct communications with drivers.
“We did some things that did not communicate out to the drivers, and I think, for me, that was very intentional because I wanna build the trust,” Jared Whitson, senior director of safety and compliance at Bennett, said during a Motive fireside chat on Sunday evening at MCE. “I wanna build the trust in the product.”
Motive said several organizations are already developing and deploying Agents across their operations, including Carvana, NovaSource Power, SPATCO Energy Services, Bennett Family of Companies and Bulk Environmental & Industrial.
Automating compliance and maintenance follow-up
Fleet operators already have legal obligations to monitor driver fitness and vehicle condition. Under 49 CFR 392.3, motor carriers cannot require or permit fatigued drivers to operate commercial vehicles. Meanwhile, 49 CFR 396.7 prohibits operating a commercial motor vehicle in a condition likely to cause an accident or mechanical breakdown.
Failure to address these risks can carry significant financial consequences. Emily Parsons, a staff product manager for Agents at Motive, cited company data indicating that 47% of fleets have experienced a breakdown or an out-of-service event linked to delayed maintenance.
“A fault code fires, it sits in a dashboard, and by the time someone opens a ticket, a small issue oftentimes has already turned into a big one,” Parsons said.
Motive Agents aim to shorten the time between detecting a problem and initiating corrective action. According to the company’s announcement, customers can configure a trigger and its corresponding response in minutes using guided workflows or ready-made templates, without requiring technical expertise.
Operators determine the conditions under which an Agent activates and the action it must perform. The software then applies those rules continuously and consistently. Available templates cover engine idling, vehicle fault codes and driver fatigue, while individual Agents can combine several triggers and responses.
For example, when a vehicle fault code meets a fleet’s predefined criteria, an Agent can automatically create a work order in Motive Maintenance and mark the vehicle out of service. Motive also provides an AI-generated explanation for each fault code, alongside a severity rating and recommended actions.
Other workflows address different operational risks. Fatigue-related Agents identify potential driver fatigue, while idling Agents prompt drivers to switch off their engines and notify managers when idling exceeds a specified threshold. Weather-related Agents can also warn drivers about storms along their active routes.
The safety implications extend to seasonal driving conditions. Parsons said Motive data shows that collision rates can increase by as much as 40% during winter months.
By connecting information collected through physical hardware and software with automated operational responses, Motive is positioning Agents as a way to move fleet management beyond monitoring and toward intervention.
“Our customers don’t need another alert. They need action,” Hemant Banavar, Motive’s chief product officer, said in the company’s announcement. “The data that prevents collisions and breakdowns already lives in Motive. Agents put it to work the moment it matters, so teams can grow without adding headcount.”
Operational inefficiencies and Motive’s growth strategy
Motive estimates that preventable operational problems, including downtime, compliance violations and unproductive idling, cost organizations $46 billion. The company also estimates that businesses spend 860 million hours on tasks that could be automated.
Its 2026 ROI Report, based on an online survey of 351 North American customers, found that 42% of respondents identified operational inefficiencies, including excessive administrative work, as a leading concern.
The launch comes approximately six weeks after Motive secured more than $1.3 billion in growth financing from General Catalyst and withdrew its initial public offering filing.
At the time, the company reported annual recurring revenue exceeding $600 million, representing 30% year-over-year growth. Motive serves nearly 100,000 customers, ranging from small fleet operators to Fortune 500 companies. It says the scale of its customer base provides access to one of the largest datasets in fleet management for training its AI systems.
Driver calls and goal-based automation planned for later
Not all the announced capabilities are available yet. According to Motive’s blog post, Agents currently notify managers through email, text messages or app notifications. Drivers can also receive voice messages inside the vehicle.
Direct calls to drivers from Atlas, Motive’s AI assistant, through AI Dashcam Plus are planned for later in 2026.
The company also intends to introduce natural-language Agent creation and goal-based configuration early next year. This would allow users to describe an automation in everyday language or establish an objective, such as reducing collisions.
Motive already offers a library of pre-built Agents that require no setup and are available to customers today. These cover functions including driver coaching and maintenance.
The company says Agents are included in existing Motive plans, although certain premium actions are offered as add-ons. The launch announcement did not disclose pricing.
Bennett prioritizes internal alerts before driver-facing actions
Bennett Family of Companies has installed Motive AI Dashcam Plus across its vehicles but has not yet activated driver-facing Agent actions through the in-cab camera, according to Whitson.
One of its initial workflows alerts the asset management, maintenance shop and safety teams whenever a company truck carrying a critical fault code enters the geofenced area around Bennett’s headquarters in McDonough, Georgia.
Whitson has also configured an Agent to notify him when a driver records three critical telematics events within a 24-hour period.
Each Agent can be configured through a single screen, where users select the relevant conditions and specify the required response. At Bennett, the initial approach keeps these notifications directed toward office personnel, allowing the company to evaluate the technology before granting it a broader operational role.
Whitson said this gradual adoption helps establish confidence in the system before automated actions are extended to drivers. He believes each company must determine how much decision-making authority it is prepared to delegate.
“I think it’s foolish not to make products earn that trust. But I do think that once it’s earned, then to keep up and to be competitive, then those are decisions that you’re going to have to make.”
In the company’s press release, Whitson described the administrative burden currently facing his team and the potential for automation to free up resources.
“My team’s days are often spent running reports, cross-referencing them, and reacting to problems,” he said.
He added that managing safety at scale without Agents requires inefficient manual processes across nearly every team responsibility. With a single initial configuration, the platform can execute predefined responses whenever the relevant conditions occur.
For Bennett, the anticipated benefit goes beyond reducing administrative workload. The company expects to redirect resources toward field safety coordination, more meaningful corrective actions and driver training, with the ultimate goals of improving road safety and reducing collision-related costs.
A 15-Agent safety program cuts manual review time
Motive also highlighted the experience of a moving and storage company operating approximately 230 vehicles. The business has deployed 15 Agents across its safety program.
One Agent identifies patterns of risky driving over a rolling five-day period, including repeated speeding, unsafe lane changes and signs of drowsiness. When a predefined threshold is reached, the system automatically notifies the driver and their coach.
Other Agents escalate crashes and near-miss events to management through email, in-app notifications and SMS messages.
The company estimates that the system saves approximately 20 hours each week in manual event review, demonstrating how multiple automated workflows can support a broader fleet safety program.
Hours-of-service monitoring reduces monthly violations by around 88%
A separate example involves a fencing and guardrail contractor operating 35 vehicles. The company configured an Hours of Service (HOS) Agent to intervene as drivers approach their permitted driving limits.
The system first delivers an in-cab voice message when a driver has 60 minutes remaining. A second alert, sent to both the driver and their coach, follows when only 30 minutes remain.
The initial warning provides drivers with time to find suitable parking and stop legally before reaching their limit. According to the company, most drivers correct their situation after receiving the first message, helping prevent unnecessary escalations and reducing the number of alerts managers must handle.
The contractor reported a decline in monthly violations from approximately 85 to 10 in September, equivalent to a reduction of about 88%.
Fleet Management: From Alert to Action
Motive’s Agents are designed to address a chronic operational problem: just because you find a risk doesn’t mean you’ll get a response fast enough.
If you don’t address a fault code, it could lead to a breakdown or take a truck out of service. Automated work orders, driver notifications and management escalations can help close that gap by starting responses as soon as the predefined conditions are met.
The technology could also ease the administrative burden of tracking maintenance issues, hours of service and monitoring driving behavior.
Fleet operators gain not the removal of human supervision, but the freeing up of more time for duties that still require judgment, such as driver coaching, field safety coordination and corrective training.
Bennett’s slow rollout reflects an important consideration in AI adoption in transport operations: automation needs to be accompanied by a suitable level of trust and control. As Motive develops its capabilities, fleet operators will need to determine what actions can be delegated to the software and what should be kept under direct supervision by humans.
The launch is indicative of a wider evolution in fleet technology from systems that primarily provide and present operational information through to platforms that can automatically initiate responses. In an industry that is under pressure to improve safety, maintenance and efficiency, that shift could allow companies to grow without adding a proportional number of administrators.
