Fleetio announced the AI Service Advisor, a built-in maintenance expert designed to help fleets make faster maintenance decisions and automate routine processes.
Service Advisor assessed more than $1.4 billion in maintenance spend during a six-month open beta, helping assets return to service an average of 2.5 hours sooner per repair.
Since the open beta, Service Advisor has expanded from helping teams evaluate maintenance to automating more steps across the maintenance workflow.
“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,” says Jorge Valdivia, CTO at Fleetio. “AI Service Advisor brings that intelligence directly into the maintenance workflow by automating routine decision-making to help fleets focus on the situations that require experience, ultimately driving real cost savings.”
Key takeaways:
· Service Advisor prioritizes issues that need attention, evaluates repairs in context, drafts service, advances low-risk approvals within fleet-defined policies, and closes routine follow-up after service. For fleets, that means fewer delays between identifying a problem and initiating repairs, reducing time in the shop and avoiding unnecessary spend.
· Service Advisor helps fleets scale the judgment of their best maintenance experts without adding another process to manage. By automatically resolving more than 2,000 maintenance issues each month, it eliminates routine follow-up after service and keeps maintenance records current. Behind that intelligence are 14 years of maintenance data spanning millions of assets and tens of millions in repair orders.
· Service Advisor applies fleet-specific intelligence throughout the maintenance process by drafting work orders from maintenance signals; assessing in-progress maintenance; prioritizing issues and automatically resolving eligible issues and approving low-risk repairs.
