Geotab has launched what it calls an industry-first AI connector for fleets, and one of the early voices describing its impact is Joe Hanvey, Director of Tractor Maintenance at Central Transport, a longtime ATI by Transflo customer.
Announced on June 17, 2026, the new Geotab Model Context Protocol (MCP) Connector lets fleets securely tap live MyGeotab data and Geotab's Ace agentic platform from inside the AI tools they already use, including Claude, ChatGPT, and Microsoft Copilot. The significance is in what it allows teams to do. Rather than simply retrieving data, users can ask questions in plain language, run multi-step workflows, and take action directly, creating alerts, scheduling maintenance, generating reports, and even building applications without ever leaving their preferred AI environment.
For an operation the size of Central Transport, that shift matters. Joe Hanvey described connecting the MCP Connector to Claude as a way to turn complex fleet data into real-time, usable intelligence, compressing what used to take weeks of manual analysis into fast, detailed reporting. In his words, it has moved Geotab from a system his team queries to one they can "think with," giving managers the confidence to make quicker decisions at scale. That kind of outcome only works when the data underneath it is sound, and that is where the partnership behind the scenes comes in.
The promise of AI in fleet management depends entirely on the quality of the information feeding it. Engine health, driver behavior, fuel performance, route efficiency, asset utilization, and maintenance needs all have to be accurate and current for an AI assistant to return answers worth acting on. Geotab brings enormous scale to that challenge, processing roughly 37 trillion data points a year from more than 6 million connected vehicles, but scale alone does not guarantee that any single fleet is capturing clean, well-structured data day to day.
This is the work ATI by Transflo focuses on for customers like Central Transport. As a Geotab partner, our role is to make sure the telematics foundation is solid: that devices report correctly, that data is organized in a way that reflects how the fleet actually operates, and that the team has the reporting and support it needs to act on what it sees. When that groundwork is in place, advances like the MCP Connector become something a fleet can adopt with confidence rather than a feature that looks impressive in a demo but stalls in practice.
One of the more important design choices in Geotab's announcement is that the MCP Connector is built on an open standard rather than a closed, proprietary system. That means fleets are not locked into a single AI ecosystem. Whether a team standardizes on Claude, ChatGPT, Copilot, or a tool that does not exist yet, it can connect through its own approved environment and keep control over security, privacy, and data governance.
For ATI by Transflo customers, that flexibility is a real advantage. Every organization has its own rules about how data is handled and which tools are sanctioned for internal use. An open approach lets fleets bring trusted Geotab intelligence into the systems they already rely on, on their own terms, without compromising on governance.
Joe Hanvey's experience at Central Transport is an early look at a much larger shift. As AI tools mature, the fleets that pull ahead will be the ones that pair powerful technology with reliable operational data and a clear plan for using it. The connector is the bridge, and clean, well-managed telematics data is what makes the crossing worthwhile.
ATI by Transflo works with customers like Central Transport to keep that data foundation strong and to help them adopt new capabilities as they arrive. To learn more about how we can support your fleet, contact us.
