Artificial IntelligencePublished October 3, 20261 min read

IAG proves AI value in one airline before scaling

JSBy Joan SanzCurated by Joan Sanz. · October 3, 2026 · Follow on LinkedIn

Voice reading · ~1 min

IAG has a rule that more hotel groups should copy: prove the value of an AI use case inside one airline before rolling it out across the group. That is how the holding company approaches scaling, according to Skift. Ben Dias frames governance as the piece that goes in from day one, not as an afterthought once the pilot works.

The logic is simple and it holds for hotels too. A model that answers revenue questions well in one brand can behave differently in another with a different booking curve, a different mix of leisure and corporate demand, or a loyalty programme with its own rules. Running the test first gives the group real numbers to decide with, instead of an internal bet dressed up as strategy.

My take: this is the discipline most hotel chains skip. They see a flashy demo, sign a multi-property contract and then spend a year fixing data that was never ready. IAG's approach flips the order. Validate, measure, then scale. Slower on paper, much faster in practice.

Quick questions

What is IAG's approach to scaling AI across its airlines?

IAG proves the value of an AI use case inside one airline before expanding it to the rest of the group, according to Skift. Governance is built in from day one so the group has real numbers before committing to a wider rollout.

Why does IAG test AI in one airline before scaling it?

Because performance varies between brands with different demand curves, customer mixes and loyalty rules. Testing in one airline gives IAG concrete evidence instead of an assumption, which is what gives the group confidence to scale across markets and brands.

What role does governance play in IAG's AI strategy?

Ben Dias says governance goes in from day one, not after the pilot succeeds. That means the rules, controls and measurement are set before any expansion decision, which is what makes scaling across the group defensible.

What can hotel groups learn from IAG's AI scaling model?

That a working pilot in one hotel does not guarantee the same result in another. Hotel chains can copy the order: validate the use case in one property, measure it, then roll out to the rest of the portfolio.

Should hotels scale AI across all properties at once?

IAG's example suggests no. Proving value in one airline first, with governance in place, is what gives the group the confidence to expand. Hotels with several brands can apply the same sequence before signing a group-wide contract.

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