Service guides / AI automation

Acceptance checklist · AI automation

Booking reminders: acceptance checklist

Define how to recognise a usable result. Start with a sample booking calendar and consent rules and plan a reminder queue tied to booking status.

Available remotely for local and international enquiries. Platform choice and final scope depend on your requirements.

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The project in view

Start with
a sample booking calendar and consent rules.
Proposed result
a reminder queue tied to booking status.
A decision to resolve
cancellations after a reminder has been scheduled.

This is a planning example. It does not describe a completed client engagement.

Acceptance checklist for this project

  • Compare the result with a manually checked sample; measure corrections as well as time saved.
  • Write the expected content and format of a reminder queue tied to booking status against one agreed sample.
  • Include a failing example involving cancellations after a reminder has been scheduled, and agree the correct response.

Questions to answer together

  • What is the expected result for one agreed example?
  • Which edge cases must pass before signoff?
  • Who accepts the result, and where is that decision recorded?

What to have at the end

A repeatable acceptance pack with examples, expected outcomes and signoff criteria.

Record the decision on cancellations after a reminder has been scheduled alongside the source material. If it is still unresolved, identify who can answer it and what work depends on the answer.

Prepare your enquiry

Use this as a starting point. Add your current process, available examples and constraints before sharing.

Email Ian

Send your completed brief to hello@iansamonte.com or visit the main page to discuss your project.