All scenariosLease and motor insurance

    Fleet lease returns without a physical inspector on site

    A lease operator handling several thousand vehicle returns a year moves damage assessment from on-site inspectors to smartphone capture with AI damage detection and a human review layer.

    Illustrative pilot scenario built from publicly available industry practice and the KLIQ platform's capabilities. It is not a named customer reference and contains no customer data.

    The situation

    Vehicles come back at dealers, depots and driver homes. Each return needs a defensible condition report, and disputes over who pays for damage are slow and expensive to settle.

    The manual baseline

    • An inspector travels to the vehicle, which limits how many returns can be handled per day
    • Condition reports arrive days after the return, so recharging costs drags on
    • Photo evidence is inconsistent, which makes disputes hard to defend

    What KLIQ changes

    • A guided capture flow tells whoever is at the vehicle exactly which angles to shoot
    • Damage is detected per panel and classified against a standard damage scale
    • Every detection keeps its source photo, timestamp and location as an audit trail
    • Only flagged or borderline cases go to a human reviewer

    Indicative outcomes

    Travel removed

    Most returns

    Capture happens where the vehicle already is, no inspector trip needed

    Report turnaround

    Minutes, not days

    Detections come back on the same session, review happens the same day

    Evidence quality

    Consistent set per vehicle

    Guided capture means every return has the same angles and metadata

    Integration

    Results post straight into the fleet or claims system through one API call, so the condition report lands on the existing record rather than in a separate tool.

    See AssetScan