AI Tools for Travel Agents to Plan Itineraries (What Works in 2026)

Straight answer: The AI tools worth a travel agent's time in 2026 are Layla AI, Mindtrip, Wonderplan and ChatGPT working alongside your GDS or booking platform, not instead of it. They cut research and first-draft time by roughly half, but every single fact they produce still needs a human to check it before it goes near a client, because these tools invent hotel closures, wrong prices and restaurants that shut down two years ago with total confidence.

What these AI itinerary tools are for

Nobody's building a full end-to-end booking system out of a chatbot. That's not what's happening here. What's happening is that the slow, unpaid part of your job, the bit where you spend three hours reading blogs to work out a sensible order to visit six cities in Portugal, is now something a tool can rough out in ninety seconds. You still book the flights through your consolidator, you still negotiate the villa rate, you still know that the boutique hotel in Sintra overbooks in October. The AI does the scaffolding. You do the judgement.

I say this as someone who's spent the last five years rebuilding a consulting business around exactly this kind of shift, watching whole industries decide AI will replace people when what it does is replace the boring 40% and leave the valuable 60% more visible than ever. Travel is a textbook case. The bit clients pay you for was never "knows what order to see Rome in." It was always "knows which driver won't show up late and which resort will comp the honeymoon suite because you sent them eleven bookings last year." AI can't touch that.

The tools worth paying for

Here's what's in agents' toolkits right now, and what they cost.

• Layla AI - started as a consumer trip-planning app, now used by a fair number of independent agents as a base draft generator. Free tier exists, paid plan runs around $10 to $12 a month. Good at pulling together day-by-day structure from a client brief. Weak on real-time pricing.
• Mindtrip - built with agents and creators in mind, lets you share a visual, map-based itinerary with a client and let them tweak it live. Free to start, business plans move into the low hundreds per month depending on client volume. This is the one I've seen boutique agencies keep using past month three, which says something, because most trial tools get abandoned by week six.
• Wonderplan - fast first-draft generator, strong for straightforward city breaks and multi-stop backpacker routes. Cheaper than Mindtrip, less collaborative, better as a starting point you then rebuild in your own branded document.
• ChatGPT or Claude - not an itinerary app at all, but most agents I talk to use one of these as the drafting engine because you can feed it a detailed client brief and get something usable in one prompt, then refine it in the chat. If you want a running list of prompts that produce useful travel drafts rather than generic listicle output, I've put together a guide to ChatGPT prompts that covers this exact use case alongside dozens of others.
• Roam Around and Curiosio - narrower tools, useful specifically for road trip route planning where the client wants stops between two cities rather than a single-destination stay. Curiosio in particular is decent at multi-day driving logic, which the bigger generalist tools handle badly.
• TripIt - not a planning tool at all really, but worth mentioning because it's what most agents still use to package the final confirmed itinerary into something clean for the client's phone. AI drafts the plan, TripIt (or your own PDF template) delivers it.

None of these replace your GDS. Sabre, Travelport, whatever booking engine you're tied to, that's still where the actual reservation happens. The AI layer sits on top, doing the thinking-out-loud part.

A real client story, and where it went wrong

A consultancy client of mine runs a small luxury agency out of the south of England, four staff, mostly honeymoons and milestone anniversary trips. Last spring she tried building a full ten-day Kenya and Zanzibar itinerary using one of the AI tools end to end, keen to shave hours off a brief that would normally take her a full working day. The draft looked brilliant. Day-by-day pacing, sensible flight connections, a lovely narrative tone. Except it recommended a beach lodge that had closed after a fire eighteen months earlier, and it quoted a safari camp price that was nearly 40% under the camp's actual current rate.

She caught both errors because she knows the region. If a newer agent, or worse, the client themselves using a consumer version of the same tool, had run with that draft unchecked, you're looking at a very awkward phone call two weeks before departure. That's the bit nobody selling these tools puts in their marketing copy: the confidence with which AI states wrong information is exactly the same confidence with which it states correct information. There's no tone difference. You cannot tell by reading it which bits to trust.

So the workflow that holds up isn't "AI plans it, I check the flights." It's "AI drafts structure and language, I verify every single fact against a live source before it reaches a client." That second part still takes real time. Agents who tell you AI has cut their planning time by 80% are either doing very simple, low-risk trips, or they're skipping the verification step and haven't been caught yet.

The step-by-step: building a client itinerary with AI in under two hours

This is roughly the workflow I've helped a handful of agency owners set up. It's not glamorous, but it holds up under real client pressure.

1. Step 1: Brief the tool, not lazily. Give it dates, budget band, pace preference (relaxed vs packed), any mobility or dietary constraints, and what the trip is for (honeymoon, milestone birthday, family reunion). A vague brief gets a vague, generic draft that reads like every other listicle on the internet.
2. Step 2: Generate two or three draft structures, not one. Ask for a "relaxed pace" version and a "see everything" version. Compare them with the client rather than presenting a single fixed plan. Takes ten extra minutes, massively improves how the client feels about the process.
3. Step 3: Strip out every specific claim and verify it separately. Hotel still open, restaurant still there, opening hours current, price within 10% of what the AI quoted. This is the step people skip and the step that matters most. Budget 45 minutes to an hour for a complex multi-country trip.
4. Step 4: Layer in your actual supplier relationships. Swap any generic hotel suggestion for the property you have a negotiated rate or a personal relationship with. This is where your margin lives, and it's also where the trip gets better, because you know which room has the view.
5. Step 5: Rebuild it in your own branded format. Never send a client a document that looks like it came straight out of a free app. Copy the itinerary into your own template, your own tone, your own logo. Clients are paying you, not the AI tool.
6. Step 6: Load the confirmed version into TripIt or your delivery tool of choice for the client's phone.

Total time for a fairly involved ten-day, three-country trip: around ninety minutes to two hours, against what used to be a full working day. That's a real, honest saving. It's just not the "AI does everything" saving the tool vendors advertise.

Where AI helps, beyond the first draft

A few uses that don't get talked about as much as the headline "plan my trip" function:

• Client email drafts. Turning a rough voice note or bullet list into a polished proposal email. Saves real writing time, especially for agents handling forty or fifty active enquiries at once.
• Packing lists and pre-trip briefs tailored to destination and season, which clients love and which used to be a copy-paste job from an old template that was always slightly wrong for the specific trip.
• Translating and localising itineraries for clients booking trips that involve non-English-speaking destinations, useful if you're working with international clients, which is increasingly common if you're operating across the UK, US and Israel markets the way I do.
• Handling repetitive enquiry triage. A basic AI chatbot on your website can answer "do you do honeymoons to the Maldives" style questions before a human ever picks up the phone, freeing agents for the actual planning conversation.

What AI can't do, and won't for a while

It can't negotiate a rate. It can't tell you the guide in Marrakech who's brilliant with nervous first-time travellers versus the one who rushes groups through the souk. It can't handle the 2am call when a flight's cancelled and a family of five is stranded in Doha. It doesn't know that a client mentioned six months ago, off-hand, that she's terrified of small planes, so the "convenient" internal flight the AI suggested is the one thing that will ruin her trip.

This is the uncomfortable bit for anyone who's spent money on an AI planning tool hoping it would let them cut staff or stop paying for a decent booking platform. It won't. What it changes is the shape of the job, less time drafting, more time on the relationship and the judgement calls, which honestly is the part that was always more interesting and better paid anyway. If you're thinking about how AI fits into your agency beyond just the planning tools, that's a conversation worth having with someone who's implemented this across real small businesses rather than guessing, and it's the kind of thing I work through with clients as an AI consultant for small business.

What this means for the career itself

I get asked a lot whether travel agents as a job survive this shift. They do, but the ones who survive well are the ones who stop competing with AI on speed and start leaning harder into the things it can't replicate: relationships, taste, and the confidence that comes from having stood in the lobby of the hotel you're recommending. If you're weighing up travel agent work against other hospitality-adjacent paths, it's worth looking at the wider picture of where the money and the job satisfaction sit across the industry, which I covered in a piece on hospitality careers worth considering in 2026.

The agents doing best right now aren't the ones with the fanciest AI stack. They're the ones who use the tools to strip out the drudge work fast, then spend the time they've bought back on the calls and relationships that justify their fee. That's the whole game.

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Frequently asked questions

Which AI tool is best for travel agents building client itineraries?

Mindtrip and Layla AI are the two most commonly used by working agents right now, with ChatGPT often used alongside either as the drafting engine for the written content. None of them should be trusted for pricing or availability without a manual check.

Do AI itinerary tools replace the need for a GDS or booking platform?

No. AI tools handle the planning and drafting layer, while the actual reservation still runs through your GDS, consolidator or direct supplier relationships. They sit on top of your existing booking infrastructure rather than replacing it.

How much time can AI save when building a client itinerary?

For a fairly complex multi-country trip, agents typically go from a full working day down to around ninety minutes to two hours, including the time needed to verify every fact the AI produces, which is a step that cannot be skipped.

Is it safe to send a client an itinerary straight from an AI tool?

No. AI tools regularly state incorrect prices, list hotels that have closed, and get opening hours wrong, all delivered with the same confident tone as correct information. Every specific fact needs manual verification before it reaches a client.

Further reading

• Anthropic's own documentation
• the NIST AI Risk Management Framework

This goes deeper into contribute a guest article on travel.