A Protection Guide for Automotive Retail
Separate substance from hype before you sign
AI vendors are flooding the market with buzzwords, thin products, and big promises. These 10 questions will help you protect your dealership.
Download the PDFKeep this guide handy for your next vendor meeting.
Many AI vendors require broad data access but retain rights to the insights, models, or aggregated data they create. Understand exactly what data flows to the vendor, where it's stored, and whether you maintain full ownership of outputs. If you cancel, do you get your data back? In what format?
AI is only as good as the data it learns from. Ask how the vendor deduplicates customer records, handles outdated contact information, and resolves identity across multiple touchpoints (web, phone, in-store). Dirty data in means garbage insights out.
Some vendors use shared models trained on aggregate data from many dealerships. Others train models specifically on your data. Shared models may miss your market's nuances. Dedicated models require more data but can be more accurate for your specific operations.
AI hallucinations, where the model confidently generates false information, can damage customer relationships and create liability. Ask what guardrails exist, whether responses are grounded in your actual data, and how the system handles questions outside its knowledge.
Black-box AI that can't explain its recommendations is a liability. Ask how the system explains why it made a recommendation, predicted an outcome, or flagged a customer. Your managers need to understand and trust the AI's reasoning.
AI pricing can be opaque. Get clear answers on per-rooftop costs, usage-based fees, implementation costs, training costs, and what happens to pricing after the initial contract term. Ask about hidden costs like API fees, data storage, or premium features.
Distinguish between AI that requires extensive customization and AI that works immediately. Ask for specific examples of workflows that work on day one versus those requiring configuration. Get references from dealerships of similar size who are live on those workflows.
Integration depth matters. Surface-level integrations may only read data. Deep integrations can write back, trigger actions, and maintain bidirectional sync. Ask about specific integrations with your exact systems and the timeline to full integration.
Ask about SOC 2 certification, data encryption (at rest and in transit), CCPA/state privacy law compliance, and how they handle consumer data deletion requests. Get documentation, not just verbal assurances. Ask about their incident response process.
Vague promises of 'improved efficiency' aren't enough. Ask for specific KPIs the vendor tracks, how they establish baselines, and what reporting you'll receive. Align on success metrics before signing so there's accountability after implementation.
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A protection guide to help you evaluate any AI vendor. Know exactly what to ask before you sign.
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