Explainer
Judging AI claims in repair software
The useful question is not whether a product contains AI. Ask what decision it improves, what evidence it uses and what a person can review before acting.
01
Ask for the exact job
A credible feature has a narrow purpose: summarize an inspection, suggest supplier alternatives, flag an unusual price or draft customer-facing language. Broad intelligence claims are hard to test.
02
Inspect the evidence
Recommendations should expose their basis—catalog match, price history, availability, service record or source document—so a user can verify the result.
03
Keep authority with the operator
Define which actions require approval, what is logged and how a user corrects the system. High-impact purchasing, pricing and maintenance decisions should not become invisible automation.
04
Test failure cases
Use incomplete vehicle data, conflicting catalog records, unavailable parts and unusual labor operations. Observe whether the feature signals uncertainty or presents a guess as fact.
05
Demand an operational measure
Choose a measurable target such as sourcing time, avoided price variance, estimate preparation time or follow-up completion. Compare a pilot against the current process before expanding.
Ready to move forward?
See the workflow in VMOTEK
Bring your current process and we will demonstrate where the platform fits, what changes, and what it does not yet support.