Most booking changes are routine, but each one still needs an agent to find the booking, check availability and apply the right policy. That work is predictable enough to draft automatically, while agents keep approval and supervisors keep the exceptions. These four steps get routine changes answered quickly and consistently.

Step 1 — Write down the change rules

Goal: Make the policy clear enough to apply consistently.

  1. Collect the change and cancellation policies for each rate and product.
  2. List the changes agents handle most often.
  3. Define exceptions: refunds, complaints, group bookings and policy waivers.
  4. Agree who approves routine replies and who decides exceptions.

You finish with: Written change rules with exceptions and owners.

Step 2 — Connect bookings and availability

Goal: Give the drafts the facts they need.

  1. Give read access to the booking system and availability.
  2. Match requests to bookings by reference, name and dates.
  3. Flag requests that match no booking or several bookings.
  4. Keep payment details out of drafts.

You finish with: Requests matched to bookings with availability.

Step 3 — Draft, approve and route

Goal: Answer routine changes quickly and correctly.

  1. Draft replies with the options, any fees and the policy wording.
  2. Have an agent approve each reply before it is sent.
  3. Route refunds, complaints and exceptions to a supervisor with a summary.
  4. Update the booking only after the guest confirms.

You finish with: Approved replies and routed exceptions.

Step 4 — Measure and refine

Goal: Show faster replies and fewer errors.

  1. Track time from request to reply.
  2. Track drafts sent with light edits.
  3. Track replies corrected for wrong fees or policy.
  4. Update the rules where agents correct the same thing often.

You finish with: Measured results and clearer rules.

Common pitfalls

  • Changing bookings before the guest confirms.
  • Letting drafts decide refunds or waivers.
  • Quoting fees without the policy that applies.
  • Unclear policies that agents interpret differently.

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