For Automotive AI Partners
Customer Evidence can expand what AI knows about how shoppers experience guidance, decisions, and Relationships.
Why product intelligence is not enough
AI may know inventory, payments, specifications, and next-step workflows while lacking firsthand evidence of what shoppers fear, value, or mean by their questions. The issue is not chat versus agents; it is whether either has the knowledge needed to offer useful Help.
The evidence layer
The Rosetta Stone offers an analytical starting point. With permission and appropriate safeguards, an enterprise could develop a growing body of first-party customer knowledge from Interviews and preserved conversations, paired with authentic retrievable customer video.
Evaluate, do not assume
Promising applications include relevance of responses, confidence-sensitive routing to human Help, and post-conversation learning. These are proposed uses to evaluate, not claims of a deployed product or proven lift. A shopper must retain control and ordinary privacy safeguards must apply.
The enterprise can teach AI what its customers know—provided it first learns from them.
Patterns are not scripts
Every shopper has a unique Y. AI can use the Rosetta Stone to recognize possible meanings in customer language, but it must not assume that a recurring pattern establishes any individual customer's state. Useful guidance remains responsive, uncertain where appropriate, and attentive to what the shopper actually communicates.