Explore how customer experience failures drain trust, shape future interactions, and reveal where AI should help, wait, or stay out.
Select a scenario to activate its trust analysis below. Each one leaks trust differently.
02 - Trust analysis
Choose one scenario above. Its trust impact, signal-flow map, repair actions, and AI readiness verdict will appear here.
Select a scenario to begin
Downstream contamination
Follow the trail: one incorrect answer can spread doubt across every experience that depends on it.
The AI states details that aren't true.
They plan a purchase around it.
They buy the wrong thing.
The order comes back.
Your listings feel unreliable.
They stop trusting the assistant.
Trust leak type
The assistant answers a product question with confidence and gets it wrong. The customer acts on that reply, and every later answer inherits the doubt.
Trust impact
A confident wrong product answer sits at the severe end of the scale; future AI answers lose trust with it.
Repair actions
Correct the product source data
Require answers to cite approved product info
Add uncertainty and fallback rules
Escalate compatibility or warranty questions
Review similar product conversations
AI readiness
Do not automate yetThe AI gave incorrect product information with confidence. Do not automate recommendations until answers use verified data and guardrails.
Readiness scale
✓Finding product details
✓Comparing approved product data
✓Collecting customer needs
×Making recommendations before product data and guardrails are verified
See where AI should help, wait, or stay out, mapped to real customer journeys.