With advancements in travel industry artificial intelligence (AI), the sector is exploring how best to transition AI from pilot projects to full integration into their operations. As companies work on their 2027 budgets, critical evaluation is required to determine which AI projects justify continued investment based on their utility to employees and enhancement of customer experiences.
Defining Practical AI Goals
For AI initiatives to be successful in the travel industry, it’s necessary to establish specific, tangible goals rather than a broad directive to “use AI.” Key objectives might include improving the accuracy of booking inquiries, reducing request processing times, or easing access to dependable information for employees. Importantly, businesses need to assess the real impact of these technologies—whether they streamline operations without introducing new issues, such as the need for manual corrections or increased complaints.
Ensuring Scalability Across Divisions
The successful implementation of AI in one part of a company doesn’t guarantee it will be suitable across the entire organisation, as different divisions might have varied systems and requirements. Ben Dias of IAG and Nicolas Maynard of Accor will contribute to discussions on the challenges of scaling AI within large travel groups. Factors to consider include the need for local adjustments and identifying the decision-makers for scaling such technologies company-wide.
Addressing AI Limitations
Effective deployment of AI in travel must account for the industry’s inherent unpredictabilities, such as miscommunications regarding fare conditions or unavailability of booked rooms. Plans should outline strategies for when systems fail to accommodate specific customer needs, ensuring that employees can intervene or customers are not forced to repeat information. The inclusion of privacy and compliance considerations, as discussed by Sheena Varma of American Express Global Business Travel, ensures that systems are designed with data governance in mind.
Evaluating the Commercial Viability
AI projects in travel can aim at operational improvements or revenue protection and growth. To assess their commercial feasibility, investment must come with clear evidence of success—whether improving customer retention or leading to completed bookings. Industry experts such as Bryan Batista of Skyscanner and Peer Bueller of KAYAK discuss the implications of new AI-driven interactions, whilst insights on investment priorities are provided by notable figures including Richard Clarke of Bernstein and Antoine Nussenbaum of Felix Capital.
The Skift Data + AI Summit Europe, set to take place on October 6, 2026, in London, aims to facilitate such discussions among travel industry operators. With vendor participation limited, the focus will be on decision-making processes and their broader implications. Operator tickets are priced at £545, with group discounts available for those interested in attending the event.
Reporting based on coverage first published by skift.com.