Recover after an AI policy mistake
Recover from an AI support mistake by correcting the customer, preserving evidence, and improving the control.
Trust event The AI gave the wrong pause-plan policy to 62 customers. The team needs to act before more customers rely on it. A policy mistake becomes larger when the same workflow keeps answering while the team debates wording. Contain -> Correct -> Learn Recover the customer and the control system A managed AI service treats a wrong answer as an incident: stop repeat exposure, correct affected customers, and change the mechanism that allowed the mistake. Patch quietly Fixes content but leaves customers misled Trust recovery becomes visible and auditable. The customer-facing correction and the system fix are both required.…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in