Maintenance

Fleet Mechanic Agent

Reads fault codes in real-time, predicts failures days before they strand a truck, and schedules the right repair at the right shop — automatically.

34%
fewer roadside breakdowns
Days
early failure detection
Warranty
-aware dealer scheduling
See it on your fleet
Maintenance

Fleet Mechanic

Reads fault codes in real-time, predicts failures before they strand your driver. Schedules dealers, coordinates with mechanics, and manages warranty claims — autonomously.

  • Real-time fault code monitoring
  • Predictive failure analysis
  • Warranty-aware dealer scheduling
  • Multi-party coordination
  • Emergency roadside dispatch
34%fewer roadside breakdowns
app.drafftai.com/maintenance/t-3061
FLEET MECHANIC · T-3061
Aaron Blake
AI Prediction
Brake pads at 23% — estimated 3 days remaining
Fault Codes
SPN 802 — Brake Lining Wear
SPN 629 — Controller #1 Warning
Last Service
Mar 15 — Oil change, tire rotation at Motive Fleet, Kansas City
Warranty
Freightliner warranty covers brake system through 280K mi (current: 271K)
Agent Action

Scheduling Kansas City Freightliner dealer for Apr 15. Warranty pre-authorized. Parts confirmed in stock.

How It Works

From fault code to scheduled repair

01

Connect Telematics

Link Samsara, Motive, or Geotab via OAuth. The agent immediately begins reading fault codes, engine data, and location for every truck in the fleet.

02

Baseline & Learn

Within 24 hours, Fleet Mechanic builds a maintenance history baseline for every vehicle. It starts correlating fault codes with your fleet's specific breakdown patterns.

03

Predict & Schedule

When the agent detects a fault pattern that predicts failure, it generates an alert, checks warranty coverage, and schedules the truck at the appropriate dealer or shop before the breakdown happens.

Capabilities

Your fleet's always-on mechanic

  • Real-time fault monitoringContinuously reads all fault codes from every connected vehicle across your fleet
  • Predictive failure detectionML models identify which fault patterns predict specific component failures before they happen
  • Warranty-aware schedulingChecks warranty coverage before scheduling — routes to warranty-certified dealers when covered
  • Maintenance historyTracks every service event per vehicle and factors history into failure predictions
  • Emergency dispatchDetects roadside breakdowns via telematics and dispatches roadside assistance automatically
  • Shop coordinationContacts mechanics with fault code context, expected parts list, and vehicle arrival time

Supported integrations

Telematics
SamsaraMotiveGeotab
Fault Code Standards
SAE J1939OBD-IIISO 15765
Vehicles supported

Class 6–8 commercial trucks. Any vehicle with Samsara, Motive, or Geotab hardware installed.

FAQ

Common questions

How does Fleet Mechanic predict failures before they happen?

The agent continuously monitors fault codes from Samsara, Motive, or Geotab. It cross-references codes against maintenance history and uses ML models trained on fleet breakdown patterns to identify which fault codes, in which combinations, at which mileage intervals predict specific component failures — generating alerts days before the projected failure date.

How does warranty-aware scheduling work?

The agent maintains a record of each vehicle's warranty coverage by component. When scheduling a repair, it checks whether the component is under warranty and routes the truck to a warranty-certified dealer rather than an out-of-pocket shop. This prevents fleets from paying for repairs the manufacturer covers.

What happens when a truck breaks down on the road?

The agent detects the breakdown event via telematics, identifies the truck's GPS location, and dispatches roadside assistance automatically. It notifies the dispatcher, records the incident, and begins coordinating tow and repair based on vehicle location and issue type.

See Fleet Mechanic on your actual vehicles

We connect to your telematics live and show you which fault codes Fleet Mechanic would have flagged — in a free 20-minute demo.

Book a Free Demo