World Model Readiness What customers learn changes what they feel

Module · What customers learn changes what they feel

The Customer AI Trust Check

Customers increasingly assume AI is somewhere in the room; the question is whether you tell them or let them find out. Trust is cheap to keep and expensive to rebuild, and the way you handle disclosure, consent and recourse decides which way it moves. This module checks the five practices that hold customer trust as AI spreads through the relationship: honest disclosure, real consent for AI processing, a complaint channel that works, a right to a human, and some way of knowing whether trust is holding at all.

Question 1 of 5 · Disclosure is honest

Do customers know when AI is involved in what they receive from you?

AI writing the email, scoring the application, or answering the chat is invisible unless you say so. Customers who discover undisclosed AI feel handled, not served, and the trust cost lands all at once. Honest disclosure sets expectations and, increasingly, meets a legal duty.

Question 2 of 5 · Consent is real

Do customers meaningfully consent to AI processing their data?

Feeding customer data into AI systems for personalisation, scoring or training is a use they may not have agreed to. Consent buried in a privacy policy nobody reads is compliance theatre. Real consent is specific, informed and revocable, and it is the difference between a partner and a subject.

Question 3 of 5 · Complaints have a channel

If a customer is unhappy with an AI-driven outcome, where do they go?

An AI decision a customer cannot contest is a wall, not a service. Whether it is a declined application, a wrong recommendation or a bad automated reply, there needs to be a named, reachable channel to raise it, and a person on the other end who can actually change the outcome.

Question 4 of 5 · Human fallback exists

Can a customer get a human decision when the AI one is not good enough?

For consequential outcomes, being able to reach a person is not a courtesy, it is what keeps automation legitimate. A customer stuck with an AI verdict and no human recourse experiences your efficiency as their powerlessness, and remembers it that way.

Question 5 of 5 · Trust is measured

Do you actually know whether AI is helping or eroding customer trust?

Trust erodes silently: no complaint, just a slow drift in loyalty, referrals and tolerance. If you are not measuring how AI in the relationship affects what customers feel, you will learn about the damage from the churn report, long after you could have fixed it.

For the statistics · one click each

Three questions for the public picture

These do not affect your score. They feed the anonymised, aggregated statistics; groups under 8 respondents are never shown.

Do you tell customers when AI is involved in what they receive?

Always, proactively
For some interactions
Only if they ask
No
We are not sure

Can customers reach a human when an AI outcome is not good enough?

Yes, guaranteed
On escalation
Difficult in practice
No
AI makes no such decisions

Do you measure how AI affects customer trust?

Yes, and we act on it
Occasionally
No
We assume it is fine
Too early to tell

Your context

Used to calibrate the report. Company size and sector remain in the anonymized dataset; your email does not.