Booking workflow QA
AI Appointment Booking QA Scenarios
Appointment booking looks simple until the caller gives incomplete details, asks for an unavailable time, changes their mind, or wants a policy exception.
Run these scenarios with public or fictional examples. Do not use real caller names, phone numbers, patient details, payment information, or private appointment records unless there is a separate secure process.
Scenario Set
- Caller provides every required field and asks for a normal appointment.
- Caller omits one required field, such as location, service type, or preferred time.
- Caller asks for a time that is unavailable.
- Calendar integration is down or returns an unclear error.
- Caller wants to reschedule an existing appointment.
- Caller wants to cancel and asks whether a fee applies.
- Caller asks for exact pricing before required details are known.
- Caller asks for a deposit, refund, or payment-card handling.
- Caller asks for urgent help but the request is not clearly an emergency.
- Caller requests a human because the AI is not answering the question.
Expected Behaviors
- Ask for only the missing approved field.
- Never invent a slot that the calendar did not confirm.
- Never collect card numbers, passwords, one-time codes, or payment credentials.
- Use the approved pricing boundary when exact pricing is not available.
- Escalate cancellation, refund, exception, and policy questions unless explicitly approved.
- Keep a support-review trail for repeated booking failures.
Get The Scenario Matrix
The full 99 USDT Voice AI QA Scenario Pack includes a 40-row CSV scenario matrix with expected behavior, risk level, and pass criteria.