Product
AI won’t save your travel brand. Better Customer Experience will
March 1, 2026
Artificial intelligence has become the default answer to almost every growth question in travel.
Struggling with conversion? Add personalisation.
Need more content? Generate it with AI.
Want to improve support? Deploy a chatbot.
The pressure is understandable. Travel brands operate in a high-competition market with rising acquisition costs, complex customer journeys and increasing expectations around speed and relevance. AI appears to offer scale, efficiency and competitive parity all at once.
BUT... AI does not fix unclear journeys. It does not remove confusion. It does not automatically increase trust. If the underlying customer experience is weak, AI simply accelerates the weaknesses.
At Code, we work with travel organisations at different stages of digital maturity. Many already have sophisticated platforms, automation tools and data capabilities. Yet they still struggle with hesitation, abandonment and inconsistent brand perception. The common thread is not a lack of technology. It is a lack of coherent customer experience strategy.
This article explores why AI alone will not save your travel brand, where organisations are misapplying it, and how a strong customer experience strategy creates the conditions for AI to add genuine value.
The AI Gold Rush in Travel
Travel is fertile ground for AI adoption. The industry is data rich and emotionally charged. Search behaviour, pricing dynamics and user intent all create opportunities for automation and insight.
It is therefore no surprise that many travel businesses are investing heavily in:
These investments signal innovation. They reassure stakeholders that the business is evolving. They appear to address efficiency and scale.
The problem arises when capability is mistaken for strategy.
In our experience as a customer experience agency, AI initiatives often begin before the journey has been clearly defined. Personalisation is introduced before the organisation fully understands where customers are losing confidence. Chatbots are deployed before friction in the booking flow is resolved. AI content is layered onto pages that were structurally confusing to begin with.
The result is not transformation. It is complexity.
“AI tools without access to good data structures to query can be more of a liability than a benefit”
Colin Preston, Head of Product and Service Design, Code
Where Travel Brands Are Getting AI Wrong
It is easy to criticise AI implementation in broad terms. It is more useful to examine specific patterns that repeatedly surface in travel projects.
Personalisation Without Understanding Intent
Personalisation is one of the most common AI applications in travel. It promises relevance. It promises higher engagement. It promises increased conversion.
Yet relevance is not the same as reassurance.
We have observed booking journeys where users are shown highly tailored destination suggestions, but the core concerns remain unaddressed. Cancellation policies are unclear. Change flexibility is buried. Insurance information is hard to interpret. The system knows what the user might like, but it does not help them feel safe committing.
Personalisation based solely on past behaviour can even undermine trust. If a customer casually browses a destination once and is then persistently retargeted, it can feel intrusive rather than helpful.
A customer experience strategy asks a different question. Not just what is relevant, but what builds confidence at this moment.
In our work for Kuoni, a high-end luxury travel brand, customers still wanted the reassurance of speaking to a travel consultant when planning such an expensive trip. We made the UX simple, and gave the customers easy access to real people either via video meetings, phone or booking an appointment.
Delivering the CX we knew people wanted drove a £multi-million effect.
Content Automation Without Narrative Consistency
AI generated content is now widely used to populate landing pages, descriptions and guides. It increases output and reduces production time.
However, travel decisions are rarely purely functional. They are influenced by aspiration, perceived risk and emotional resonance.
When automated content lacks narrative consistency, tone becomes fragmented. Messaging shifts subtly across touchpoints. Brand personality weakens. Trust erodes.
In one recent site audit we conducted, the content architecture had become so decentralised that tone varied significantly between destination pages, promotional emails and support documentation. The issue was not grammar or quality. It was coherence. Customers were navigating an experience that felt pieced together rather than designed.
AI can produce words. It cannot establish brand alignment without a clear experience framework guiding it.
Chatbots That Solve Tickets, Not Uncertainty
Chatbots are often deployed to reduce call centre volume and operational cost. From an internal perspective, they succeed. Ticket resolution times improve. Staffing pressure reduces.
From a customer perspective, the outcome is mixed.
If a traveller is anxious about changing a booking close to departure, a scripted response that links to policy terms does not reduce anxiety. It may increase it. Efficiency is not the same as empathy.
The question a customer experience agency asks is not whether the chatbot resolves the query. It is whether it reduces uncertainty.
That difference shapes how AI is designed, trained and integrated.
"AI tools are best used when augmenting around your people in the delivery of the customer experience, rather than replacing people with tech”
Colin Preston, Head of Product and Service Design, Code
The Real Growth Lever: Customer Confidence
Travel is a high commitment purchase. It involves financial investment, time planning and emotional expectation. Customers are not simply buying a product. They are committing to an outcome.
This makes confidence the central variable in travel conversion.
The Confidence Gap in Digital Journeys
When we conduct detailed journey mapping at Code, we often identify hesitation points that are invisible in top level analytics.
Examples include:
These behaviours signal doubt.
The technology stack may be functioning perfectly. The interface may be modern. But if key concerns are not addressed clearly and at the right moment, confidence remains low.
This is rarely solved by adding more automation. It is solved by restructuring information, clarifying hierarchy and anticipating emotional friction.
Even re-designing elements of the service itself might be the answer.
Reducing Risk Perception Through Customer Experience Strategy
A strong customer experience strategy does not start with features. It starts with risk perception.
It examines:
Addressing these areas often involves relatively modest technical intervention. It may require content redesign, better contextual explanation or progressive disclosure of options.
In one travel project, improving the visibility and clarity of flexible booking options resulted in measurable uplift in completion rate. The system architecture did not change. The experience did.
In our work with Manchester Airport, we knew the car park booking experience was an area of high commercial value but the usability was shown to be sub-optimal in user testing. Over 12 weeks and many experiments we were able to turn car parking into part of the holiday booking experience – and conversion doubled.
This is the work that AI cannot do alone. It requires behavioural insight and deliberate design.
When AI Actually Works in Travel
Critiquing AI without offering constructive guidance is unhelpful. AI can create meaningful impact in travel. The key is sequencing.
AI as a Multiplier of a Clear Experience
AI delivers strongest results when layered onto a coherent journey.
For example:
In these contexts, AI amplifies clarity rather than obscuring it.
A Practical Framework for Sequencing AI Investment
Before deploying AI in any area, travel brands should be able to answer:
If those answers are vague, the investment is likely premature.
As a customer experience agency, our role is often to slow down the rush to implement and ensure the foundation is strong. Paradoxically, this usually accelerates long term performance.
We are finding AI has a place in surfacing holidays using complex criteria, for example helping streamline multiple-party bookings, showing hotels and villas with a certain disabled access, or ease of getting around the local facilities. All these user outcomes need good and reliable data to power them – you can’t present an experience without the data to back it up – which is where we started in this article.
How a Customer Experience Agency Approaches AI Differently
At Code, we do not position AI as either a threat or a solution. We position it as an amplifier.
Our approach begins with research. We combine quantitative data analysis with qualitative insight to understand how customers move through the journey and where friction emerges.
Only once friction is clearly defined do we evaluate where AI can assist.
Experience First, Technology Second
In practice, this means:
Technology choices then support these objectives.
This cross disciplinary approach, integrating design, strategy and engineering, ensures AI use cases are anchored in real experience outcomes rather than novelty.
Measuring Experience Outcomes
Efficiency metrics are not enough.
We also track:
These metrics connect customer experience strategy to commercial impact.
A great example of this was observed for Solmar Villas. When the site is processing a customer search, instead of the customers watching a blue circle go around, we used this moment to inject moments of anticipation, brand reassurance (such as our 5 star customer ratings) and other guarantee messaging. A simple but highly effective move – that took a moment where customers could get distracted, or lose patience and turned it into a positive brand experience instead.
The Strategic Shift Travel Brands Must Make
The most successful travel brands over the next few years will not be those announcing the most AI features. They will be those that embed customer experience at the centre of every investment decision.
This requires a shift in mindset.
From asking, “How can we use AI?” To asking, “Where are customers losing confidence?”
From prioritising output volume. To prioritising clarity and coherence.
From technology led transformation. To experience led growth.
AI is powerful. It is necessary. It is evolving rapidly.
But it is not a strategy in isolation.
Without a strong customer experience strategy and data governance, AI simply accelerates existing patterns. If those patterns are fragmented or unclear, the acceleration works against you.
Better experience is not a softer alternative to innovation. It is the foundation that makes innovation commercially effective.
If you are evaluating how AI should shape your travel brand’s future, the most important question is not what tool to deploy next. It is whether your customer journey is strong enough for that tool to multiply.
Want to adopt AI wisely and improve your conversion rates? Get in touch. As a leading product and service agency in Manchester with heaps of travel experience – from Centerparcs to Expedia – we can help craft your future-ready travel business today.
