Travel enquiries rarely arrive complete. "How much is the Maldives in December?" on WhatsApp, "family beach holiday, any ideas?" on Instagram, a phone call with no dates and no budget. Your agent spends the first half hour asking questions, then builds a set of options, sends three quotes — and the client goes quiet. A week later it turns out they booked with someone who replied faster or simply checked back in.
This article looks at the three points where travel agencies lose clients: taking the enquiry, building options and following up after quotes go out. For each one you will find what an AI agent can realistically handle, what must stay with your team, a sample conversation and a launch checklist.
Why travel enquiries slip away
Travel has a few traits that make a simple "bot answers FAQs" setup fall short:
- The enquiry is incomplete. To quote a holiday you need at least seven things: destination or type of trip, dates and how flexible they are, departure airport, who is travelling (adults, children and their ages), budget, board basis and hotel preferences. Clients usually volunteer one or two.
- Prices move within hours. Package prices and availability from tour operators and suppliers change during the day. An option sent in the morning may cost more by the evening, or be gone.
- Demand comes in spikes. School holidays, public holidays and early-booking season multiply the volume, while headcount stays the same.
- Several people decide. The client needs to check with a partner or confirm leave at work. If the agency does not stay in touch, the decision gets made without it.
- Different clients need different journeys. A family beach trip, a visa-led request and a corporate offsite should not sit in one queue and get the same slow reply.
Stage 1. The enquiry: AI builds the brief
At the front door, the AI's job is not to sell. It is to turn "we fancy somewhere warm" into a completed brief within a few messages, so your agent can start searching straight away. It asks one question at a time, conversationally, instead of sending a form.
A sample WhatsApp exchange (illustrative only):
Client: Hi, how much is a week in Greece in June?
AI: Hi! It depends a lot on dates and the hotel, so I'll ask a couple of quick questions and pass this to one of our travel consultants, who will send current options. How many of you are travelling, and any children?
Client: Two adults and a six-year-old.
AI: Thanks. Do you have fixed dates, or a window like "any 7 nights in late June"?
Client: From 15 June, 7 nights, a couple of days either side is fine.
AI: Great, flexibility often opens up better options. Which airport would you fly from, and what matters most: all-inclusive, beachfront, a kids' club?
Client: Heathrow, all-inclusive, and a kids' club please.
AI: Do you have a rough budget in mind for everyone? It helps us avoid sending things that don't fit.
Client: Not sure yet, I'd like to see what's out there.
AI: No problem, the consultant will show a few price levels. I've passed your request on, and you'll hear back in this chat during business hours.
Note what the agent does not do: it quotes no price, promises no "best deal" and is upfront that a person builds the options. If the client prefers not to share a budget, it records that rather than pushing.
What lands in your CRM: destination, dates and flexibility, party with the child's age, departure airport, board basis, hotel preferences, budget ("not set"), channel and language. Your consultant's first reply is a set of options, not a list of questions.
Stage 2. Building options: AI drafts, your consultant decides
It is easy to overestimate this part. An AI agent does not replace searching supplier and tour-operator systems, and it does not know live availability unless you connect it to a source of current data. Even then, a person should confirm the final price and availability before anything goes to the client.
Where AI genuinely helps:
- matching the brief against your own catalogue and your team's notes ("noisy at night", "great for young families") to suggest a shortlist to check;
- drafting the proposal text — why each option suits this particular family, rather than pasted hotel descriptions;
- flagging easy-to-miss checks: passport validity, whether a visa or electronic travel authorisation is needed, consent letters when a child travels with one parent — as items for your consultant to verify, not as legal advice;
- translating the proposal if the client writes in another language.
| Process | What AI does | What stays with people |
|---|---|---|
| First reply | Answers at any hour, collects the brief, identifies the enquiry type | Setting the questions and tone of voice |
| Common questions | How booking works, documents, payment methods — from your knowledge base | Keeping the knowledge base current |
| Building options | Shortlist from your catalogue, draft proposal text | Checking price and availability, final choice |
| Visas and documents | Reminds what needs checking | An accurate answer for the destination on the travel date |
| Booking and payment | — | All of it: contract, payment, supplier booking |
| Follow-up | Scheduled check-ins, logging objections | The conversation when the client is ready to decide or unhappy |
| Corporate and group travel | Collects basics and hands over immediately | The whole project |
Stage 3. Follow-up: where most deals are lost
The familiar pattern: options sent, client replies "thanks, we'll have a look", and nothing more. Your consultant has twenty new enquiries and no time to chase the "thinking about it" pile. An AI agent can keep that conversation alive on a schedule you define:
- 3–4 hours after the proposal — a short question: which option feels closest, and what is holding you back? The answer ("too expensive", "too far from the beach", "wrong airport") is logged as an objection.
- Next day — if there is no reply, one reminder with an honest reason: supplier prices change, and the consultant can re-check the options.
- After 3–5 days — an alternative that addresses the objection: shifted dates, a different resort, a different hotel tier. The consultant prepares it.
- Then stop. With no response, the agent stops messaging and asks the consultant to decide whether to close the enquiry. Endless reminders damage your reputation.
There is post-sale follow-up too: a pre-departure note (documents, airport timing, who to call if something goes wrong) and a check-in after the trip. Negative feedback is never handled by the agent alone — it goes straight to a named person.
Leisure and corporate clients need separate routes
A family booking a beach holiday needs a quick brief and options. A company taking staff to a conference needs different questions: headcount, event format, venue requirements, timelines and who signs off.
A good example of this split at website level is the Team Avia case study. We built them a multi-page site in three languages where leisure tours and the corporate MICE offer are separate journeys, and the booking process is explained in four steps: enquiry, selection, paperwork, departure. That was a website project, not an AI agent, but the logic carries over: an AI agent continues the split in chat by recognising the request type and asking the right questions. You can read more about how we build these on our AI agents page.
Checklist before you launch
- Required brief fields — separately for packages, tours, visa-led and corporate requests.
- A knowledge base: booking process, documents, payment, cancellation terms — text you are happy to stand behind.
- Hard rules: the AI does not quote prices, confirm availability or give final visa answers.
- Handover triggers: ready to book, a complaint, a corporate request, a question outside the knowledge base.
- Channels: WhatsApp, Instagram, website forms — feeding one CRM record per client, so one person across two channels is not two leads.
- A follow-up schedule and a clear point where the agent stops.
- A "before" baseline: first response time and the share of enquiries that go silent after a proposal.
To get a rough sense of what slow replies cost, plug your own figures into our lost-enquiry calculator. For similar approaches in other sectors, see the industries section, for example AI lead qualification for real estate, another business with a long decision cycle.
FAQ
Can AI build holiday options with live prices on its own?
Only if it is connected to a source of current data, and even then a person should confirm the final price and availability. Prices change during the day, and a wrong quote costs more than five minutes of checking.
Will clients be put off by chatting with AI?
What frustrates people is usually not AI itself but pointless answers and no way to reach a human. If the agent asks sensible questions, says plainly that a consultant builds the options and hands over on request, it comes across as fast service.
How should visa questions be handled?
Entry rules change, so the AI should act as a reminder that something needs checking, while your consultant gives the definitive answer from official sources for the travel date.
How much does it cost?
It depends on the number of channels, the size of the knowledge base and the CRM integrations involved. The first conversation is there to work it out for your process — get in touch.