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Travel’s new secret sauce: AI Agents that do more than just chat

Published July 17, 2025
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Over the last few months, there’s been a shift in how the travel sector employs AI. It’s no longer just about chatbots answering FAQs or apps recommending destinations. Behind the scenes, travel companies are starting to deploy AI agents — digital assistants that don’t just talk, but think, decide, and act.

Imagine a smart concierge who clearly understands your hotel preferences, checks every option in seconds, handles bookings end-to-end, and adapts when plans change. That’s the promise AI agents are bringing to travel.

Why are AI Agents emerging now?

Until recently, AI in travel mostly focused on basic automations like sending booking confirmations, analyzing customer reviews, processing requests, or optimizing prices. Today, breakthroughs in large language models (LLMs) like GPT-4 and Gemini have changed the game. These advancements allow AI agents to:

  • Understand context deeply: They interpret complex requests like “Find me a hotel near the conference centre with good reviews, breakfast included, and a gym.”
  • Reason and decide: They weigh options, apply travel policies, and propose the best fit without human guidance.
  • Use external tools autonomously: Unlike older AI tools locked in single apps, agents can search hotels, make bookings, process payments, and send itineraries – all seamlessly integrated.

In short, AI agents combine language understanding with the power to act. This is what makes them different from any other AI solution travel companies used so far.

What exactly are AI Agents?

It’s important to clarify what we mean by AI agents — and how they stand apart from other AI tools:

TypeWhat they doLimitations
Basic AI tools Analyse data, generate reports, recommend actions (e.g. pricing models, demand forecasts). Can’t act autonomously or handle user interactions directly.
Chatbots Answer preset customer questions or guide through scripted flows. Can’t perform transactions or adapt beyond pre-defined scenarios.
AI Agents Understand goals, plan and execute tasks end-to-end (research, book, pay, rebook), learn preferences, integrate with multiple systems. Still need human oversight for emotional or complex exception cases.

In other words, AI agents are “doers”. On top of providing information or recommendations, they take actions to fulfil requests autonomously. They act like a human travel consultant, not just a Q&A bot.

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How do they actually work for travellers?

In practice, AI agents often appear as a chat interface. But behind that simple chat lies a powerful decision-making engine. Picture this:

Traveller: “I’m going to Dubai next week for a conference. Please book me a hotel near the venue with good reviews, free breakfast, and a gym.”

The AI agent then:

  1. Searches real-time hotel availability near the conference venue.
  2. Filters options based on traveller preferences — ratings, breakfast included, gym facilities.
  3. Checks company travel policies for budget limits or preferred chains.
  4. Books the selected hotel, processes payment securely, and adds loyalty program details.
  5. Sends a confirmation email and updates the traveller’s calendar with booking information and check-in details.

All of this happens within minutes, without needing to call a travel agent or manually search through dozens of websites.

One of the biggest promises of AI agents is their ability to handle complex multi-step itineraries end-to-end. For example:

Traveller: “My meetings are extended. Change my hotel booking to stay two more nights.”

The AI agent instantly:

  • Checks room availability for the extension.
  • Extends the booking or finds an alternative.
  • Updates the traveller’s itinerary and notifies the hotel.

Instead of multiple emails, calls, or approval loops, the AI agent handles everything seamlessly.

Why does this matter for travel companies?

AI agents bring evident strategic benefits:

  • Lower operational costs by automating routine tasks.
  • Faster, more personalized customer experiences, boosting loyalty and repeat business.
  • Reduced errors and manual interventions, improving overall service quality.

While many companies are exploring AI for travel, Expedia’s Romie and Trip.com’s TripGenie stand out for turning AI into a true operational partner. These AI agents go beyond conversation — they handle bookings, resolve disruptions on the fly, and adapt itineraries based on live conditions and user preferences. By combining planning, decision-making, and action in one flow, they set a new benchmark for what AI can achieve in creating smoother, stress-free travel experiences.

Final thoughts

AI agents are shifting from experimental pilots to practical tools. For travel companies, they represent a chance to serve customers better, operate more efficiently, and future-proof their services. The decision is no longer whether to use them, but how quickly and smoothly you can integrate them.

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