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226. Using AI For Your Client Workflow with Heather Keller

226. Using AI For Your Client Workflow with Heather Keller

Published 3 weeks, 3 days ago
Description

Thanks to Our Tique Talks Sponsors:


Heather Keller of Perfect Landing Travel returns to the show to share how she's leveraging AI to eliminate repetitive tasks and create more space for the work that drives growth. From client communications and workflow management to restaurant research and trip planning support, Heather has built a suite of custom GPTs that function as an extension of her team; bringing greater consistency, efficiency, and scalability to her business without sacrificing personalization.

Want to see Heather's GPTs in action? Join us inside the Niche Community on July 2 for a live demonstration where Heather will walk through the custom GPTs she uses to streamline operations, support her team, and deliver a more consistent client experience! Then, continue the conversation at Tique’s Travel Business Intensive, August 24-26!

About Heather Keller:

Heather is the founder of Perfect Landing Travel and a respected luxury travel advisor with more than a decade of industry experience. A consistent top producer with Departure Lounge since 2020, she has been recognized as a Travel + Leisure Rising Star and has helped lead her team to multiple industry nominations. Known for her psychology-informed approach to travel planning, Heather specializes in understanding what clients truly want from their travels—not just where they want to go, but how they want to feel. By combining deep client insight with innovative tools like AI, she creates highly personalized, high-touch travel experiences that feel effortless, thoughtful, and uniquely tailored to each traveler.

perfectlandingtravel.com

instagram.com/perfectlandingtravel

Today we will cover:

  • (03:00) ChatGPT vs. custom GPTs
  • (06:45) How Heather created GPTs for repeatable tasks and workflows
  • (14:55) Using AI for client communications
  • (20:55) Heather's favorite note-taking tools; Granola and Plaud
  • (26:05) Auditing, tweaking, and refining outputs over time
  • (28:10) How examples, standards, and boundaries improve output

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