A White-Labeled, Embedded Inspection Experience for a Captive Auto Finance Company

  • 9,892 — Inspections delivered
  • 10 min 20 s — Average inspection time
  • ~4,480 hrs — Estimated inspector time saved

"Branding consistency mattered: the inspection had to feel like part of their app, not a third-party tool."

Captive auto finance company (U.S.)

Full stack, embedded in own app

A U.S.-based captive automotive finance company supporting a major multinational automaker's brands. A full-spectrum captive — it owns the customer relationship from origination through end-of-term, including the vehicle return experience — supporting six major automotive brands with 1,200+ employees across multiple U.S. offices.

As a captive finance company, they own the customer experience end-to-end — including lease-end and trade-in. Branding consistency mattered: the inspection had to feel like part of their app, not a third-party tool. They turned on every Self Inspection capability — visual capture, AI damage detection, repair-cost estimation — and partnered with the Self Inspection integrations team to white-label and embed the workflow directly inside their own front-end application.

Owning the end-of-term experience

Three structural problems made the lease-end and trade-in process the weakest link in an otherwise tightly-owned customer journey. Third-party in-person inspections take 30–45 minutes on-site, scheduled 4–6 weeks before lease end, and volume scales linearly with inspector headcount. A captive owns the customer through origination, servicing, payments and end-of-term — but the inspection step handed the customer to a third party, breaking a deliberately-curated branded experience at the most sensitive moment of the lifecycle. And subjective grading created disputes with lessees; repair-cost estimates produced by the captive itself were questioned by customers and insurers as self-interested.

"A separate app or vendor portal undermined trust the captive had spent years building."

Full stack, white-labeled, embedded

Every Self Inspection capability — visual capture, AI damage detection, repair-cost estimation — runs inside the customer's own front-end application. Lessees complete a guided photo & video walkaround in minutes — no appointment, no inspector, no scheduling. A computer-vision model trained on 20M+ vehicle images auto-flags parts, damage type, and severity — standardized, auditable, consistent across every return. Self Inspection's insurance-trained evaluators issue an independent repair-cost figure — defensible to lessees, dealers and insurers alike. The Self Inspection integrations team partnered with the customer's engineering team to embed the workflow directly inside the customer's front-end application — under the customer's brand, end-to-end.

Embedded, full-stack program

Cumulative program results since launch, Oct 1, 2024 → Jul 23, 2026: 9,892 inspections delivered at an average of 10 min 20 s each, versus a 30–45 min industry standard. Embedded across 4 sites in 3 metros — Atlanta, Houston (×2) and San Diego — with an estimated 4,480 inspector-hours saved versus manual industry-standard duration.

"~72% reduction in per-inspection time vs. the industry midpoint (~37.5 min)."
Industry
Captive auto finance company (U.S.)
Use case
Capture · AI · 3rd-party estimate · embedded
Scale
1,200+ employees · 6 brands
Footprint
Atlanta · Houston (×2) · San Diego
Engagement
~22 months · full stack & embedded