Showcase/Fleet maintenance copilot

Fleet maintenance copilot

A copilot for fleet technicians: incoming vehicle claims, a technical manual search that reasons through the ontology from the vehicle to its maintenance reports and resolutions with the chain of thought shown, the manual page retrieved, and a generated resolution the technician applies and records for the whole fleet.

MockupVehicle Maintenance InboxInteractive mockup on simulated data. Click anything.Open full screen
Loading the mockup…
Scope1 day

One working session with the people in the seat: which decisions, which systems, what a good week looks like.

Working demo on your data3 days

The app you see above, running on your own exports instead of the simulated world. Every screen, every decision, your numbers.

Production7 days

Wired to your systems with your permissions, agents proposing, people approving, the ledger recording who did what.

Overview

Six drivers report hot cab seats on the same truck model. A keyword search finds the seat heater page; the real cause, engine heat soak under the cab, is three maintenance reports away and only the most experienced technician knows it.

The inbox lists the claims. The ontology-powered search identifies the vehicle, reads its maintenance history, follows the links to past resolutions and retrieves the right manual section, showing every reasoning step; simple and hybrid search are there for comparison. The generated resolution is applied and recorded as a maintenance report, so the next technician with the same symptom sees it and the fleet-wide issue count updates.

Key features

  • Live fleet-wide context: systemic issues, recalls and past resolutions read and contributed in real time.
  • Ontology-powered technical manual search with the AI chain of thought, against simple and hybrid search.
  • Resolution recommendations enriched with asset history, fleet issues, previous fixes and documentation.
  • Digitised expertise: technician voice and video captured into the ontology for colleagues.

Decisions it produces

  • Run the search on a claim
  • Apply and record the generated resolution
  • Escalate a symptom as a fleet-wide issue
  • Compare search modes

Data sources

Claimsdriver reports with date and vehicle
Maintenance reportspast work per vehicle and model
Technical manualssections, schematics, troubleshooting steps
Fleetvehicles, models, years

Simulated data throughout. Book a call to see it on your own systems.

Be the next big thing

Dream big, build fast, and grow far with Fig

Fig Desktop Coming Soon!