1. Cancellation-fee source card

Copy/paste fields:

2. Customer-safe reply snippets

Reviewing before a decision: “Hi [Name], I see your note about [cancellation/reschedule/fee]. I’m going to review the appointment record and our policy before we promise a waiver, credit, or refund. We’ll update you by [date/time].”

Approved reschedule without fee promise: “We can look at the next available appointment window. I’m marking the fee question for manager review separately so scheduling does not accidentally create a refund or waiver promise.”

Policy explanation: “Our record shows [verified policy/source]. Based on that, the current status is [fee/credit/refund status]. If you want us to review an exception, I can route it to [owner/manager] with your reason included.”

Do not say: “we will waive it,” “you qualify for a refund,” “the fee never applies,” “we can guarantee the earlier slot,” “the technician was wrong,” or “policy requires this” unless the approved source and reviewer support it.

3. AI draft prompt with guardrails

You are helping a local-service business draft a customer-safe reply about a cancellation, reschedule, no-show fee, fee waiver, credit, or refund request.
Use only the verified facts below. Do not invent policy terms, refunds, waivers, credits, legal rights, payment status, technician fault, appointment availability, warranty coverage, customer intent, or owner approval.
Facts I can verify: [paste cancellation-fee source card]
Create:
1) a short internal owner/manager summary;
2) one customer-safe reply under 650 characters;
3) missing facts/questions that must be resolved before promising a fee waiver, refund, credit, charge, reschedule priority, or policy decision.
If the policy or approval is unclear, write NEEDS OWNER REVIEW instead of a promise.

STOP AUTOMATION

4. Weekly review questions

Product bridge: Pair this with Local Lead Rescue appointment-confirmation, cancellation/reschedule, service-call fee explanation, chargeback evidence, and refund-exception resources so policy-sensitive replies are tracked before AI drafts customer messages.