AI systems for automotive and mobility.
The workflow pattern we see in this industry, and what we would build for it.
01
Claim arrives
A warranty claim comes in from the dealer. An engineer reads the description and guesses at root cause.
02
Parts travel
Returned parts wait for teardown. The field keeps failing the same way while the queue moves.
03
Issue triaged by hand
Quality issues are classified one at a time and routed by whoever reads them first.
04
Cost lands late
Warranty spend is reconciled after the fact. The pattern that predicted it was in the claims text all along.
A warranty and quality triage agent.
An agent that reads incoming claims, clusters them to likely root cause, routes each issue to the right team, and flags emerging field patterns before they become campaigns. Your quality engineers keep the final say on every disposition. The agent removes the one-at-a-time reading.
10 to 14 weeks from kickoff to a live production system. We stay through adoption.
Daily output check
Checks what the system produced every day, beyond whether it ran.
Run tracing
Every run traced step by step, with each model call recorded.
Live production system
The working system in your stack, not a report.
Adoption Mile
To the 70 percent weekly-active bar by day 90.
Dealer F&I time on automatable paperwork
Above 40 percent
IllustrativeTypical vehicle development cycle
5 to 7 years
IllustrativeWarranty cost reduction from earlier triage
Varies by program
Illustrative
Ranges are industry observations for orientation. They are not ClearForge results. Our results live on the proof page.
See the proofStart where every engagement starts. The fixed-fee Diagnostic maps this workflow in your quality team in 2 weeks.
Starting point · Forge Diagnostic