Ebook
Building a Travel Assistant on Vertex AI
A guide to the architecture and delivery choices behind a Vertex AI travel assistant for booking, itinerary support, and customer service.
This guide is for travel and hospitality teams that want to understand what an AI booking assistant needs before it can be useful in production.
It focuses on the service design, integrations, and guardrails behind a travel assistant built with Vertex AI on Google Cloud.
What the guide covers
- Natural-language flows for flight search, hotel search, itinerary support, visa information, and activity suggestions.
- How booking APIs, search APIs, and customer data can work together inside one assistant.
- Where deterministic workflow control is needed and where generative responses are useful.
- What teams must decide before they move from prototype to production.
Where SquareShift helps
SquareShift helps teams design, build, integrate, and improve AI assistants that connect to real enterprise systems.
For travel use cases, the work normally includes conversation design, API integration, data grounding, testing, deployment, and support for production change.
Useful when
- Customer support teams handle repeat booking and itinerary questions.
- Digital teams want a useful AI assistant, not a demo chatbot.
- The assistant must connect to booking, search, payment, or customer-service systems.
- The team needs a controlled path from prototype to deployed application.
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