Fleetio has made its AI Service Advisor has made its AI Service Advisor generally available to fleet customers after a six-month open beta in which the technology assessed more than $1.4 billion in maintenance spend.

According to Fleetio, fleets using the tool returned assets to service an average of 2.5 hours sooner per repair. The company said one in three fleets on its platform are now using AI to prioritize maintenance work and make use of fleet data.

Since the beta period, Fleetio has expanded Service Advisor beyond evaluating maintenance needs. The tool can now prioritize issues, evaluate repairs in context, draft service work, advance low-risk approvals within fleet-defined policies, and close out routine follow-up after service.

Fleetio said the goal is to reduce delays between identifying a maintenance issue and beginning repairs while also helping fleets avoid unnecessary spending.

“The fact that I don’t have to go line by line on every work order is huge. AI Service Advisor is incredible because there’s absolutely no way one person can catch everything,” said Jill Perry, fleet administration manager at Ramos Oil. “By automatically flagging items that require a deeper dive, Service Advisor just makes my life so much easier and less time-consuming. That alone easily saves me an hour and a half a day, which can add up to about 400 hours a year saved.”

Automating More of the Maintenance Workflow

Fleetio said Service Advisor automatically resolves more than 2,000 maintenance issues each month. The technology is built using 14 years of maintenance data covering millions of assets and tens of millions of repair orders.

“We’re moving toward a world where fleet technology does more than surface information. It should understand the context behind a decision, apply what it has learned from years of operational data, and help determine the right action in the moment,” said Jorge Valdivia, CTO at Fleetio.

Service Advisor is designed to support several parts of the fleet maintenance process, including:

• Drafting work orders from maintenance signals
• Reviewing active repairs against fleet history, costs, warranties, and maintenance patterns
• Prioritizing issues based on operational impact
• Identifying opportunities to bundle maintenance work
• Approving eligible low-risk repairs within fleet-defined policies
• Resolving routine follow-up and helping keep maintenance records current

Fleetio said additional capabilities are planned as it expands embedded intelligence across its platform, while fleet managers will continue to control which decisions can be automated.

Want to Learn More About AI in Fleet?

AI is moving past the buzzword stage and into the daily fleet workflow. In the video below, Fleetio’s Brianna Perry Lang breaks down where fleets are seeing real time savings, from maintenance and data entry to repair decisions, safety, and compliance.

Watch the video below to see where AI is already making a difference for fleet operations.