Two fleet technology providers are rolling out new artificial intelligence tools designed to help transportation operators access fleet information more quickly and make better-informed decisions without relying on traditional reporting processes.

Geotab Connects Fleet Data to Popular AI Platforms

Geotab announced the launch of its new Model Context Protocol (MCP) Connector, which enables fleets to securely access live MyGeotab data through AI platforms such as ChatGPT, Claude, Microsoft Copilot, and other MCP-compatible tools.

The connector allows users to query fleet data using natural language and complete tasks such as generating reports, scheduling maintenance, creating alerts, and executing multi-step workflows directly within approved AI environments.

According to Geotab, the solution is built on an open standard rather than a proprietary AI ecosystem, allowing organizations to choose the AI platform that best fits their policies and workflows.

"High quality data and information is essential for AI solutions to have a measurable impact on business operations," said Mike Branch, vice president of data and analytics at Geotab. "Geotab has one of the world's largest and cleanest fleet datasets, built over more than 25 years."

The company says it processes approximately 37 trillion data points annually from more than 6 million connected vehicles worldwide.

RTA Embeds AI Directly Into Fleet Management Software

Meanwhile, RTA, The Fleet Success Company, announced the general availability of Ron360, a conversational AI assistant built directly into its Fleet360 fleet management platform.

Unlike external AI tools that often require exporting data into separate systems, Ron360 allows users to ask questions about maintenance, parts, costs, and fleet operations directly within Fleet360. Responses can include text explanations, charts, sortable tables, and source citations, while remaining subject to existing user permissions.

The platform is designed to help fleet managers access information more quickly without having to create custom reports or dashboards.

"Many fleets struggle to leverage their data because they lack the skills, time, or resources to access it quickly and reliably," said Marc Canton, vice president of fleet strategy at RTA Fleet. "Ron360 helps solve that by reducing the time required to find information, lowering training barriers for new users, and helping fleet professionals make faster, more informed decisions."

RTA said the AI assistant is read-only by design and includes source attribution and permission controls to address governance and security concerns.

Samsara Launches AI Agent Studio to Automate Fleet Operations

Samsara has introduced Agent Studio, a new artificial intelligence-powered tool designed to help fleet operators automate routine tasks, reduce manual work, and streamline daily operations. The platform includes more than 15 pre-built AI agents for safety and maintenance workflows, while also allowing users to build custom agents without IT or developer experience.

"Samsara has spent the last 10 years deeply embedded in the world's most complex physical operations, giving us unprecedented visibility into what's happening on the ground," said Johan Land, chief product officer at Samsara. "In 2025 alone, we captured 25 trillion data points across the Samsara Network across vehicles, equipment, worksites, and operations."

According to Samsara, Agent Studio can automate tasks such as paperwork, driver communications, maintenance reporting, and vehicle identification. Among the early use cases are AI agents that answer driver questions, generate daily fleet maintenance summaries, and automatically identify drivers assigned to vehicles to reduce manual administrative work and improve operational efficiency.

Within Agent Studio, users can integrate company policies and documents into a knowledge base, preview agent behavior before deployment, and monitor performance through a dashboard.

What It Means for School Transportation

While the three offerings take different approaches, they reflect how fleet management companies are striving to make operational data easier to access through conversational AI and streamline systems.

In consideration of school transportation departments, the potential applications range from quickly identifying maintenance trends and vehicle utilization patterns to generating reports, analyzing routing performance, and accessing safety data without specialized reporting expertise.

The announcements also highlight two emerging paths for fleet AI adoption. Geotab is extending fleet intelligence into widely used AI platforms such as ChatGPT and Microsoft Copilot, while RTA is embedding AI directly within fleet management software. Both approaches aim to reduce the time transportation professionals spend searching for information and increase the time spent acting on it.

Editor's Note: This article was originally published June 24, 2026, and was updated on July 1, 2026, for continued relevancy on AI tools in school transportation and to add information on Samsara's Agent Studio.