Getting travel AI out of the pilot stage takes more than a demo
Every hotel group I talk to has at least one AI pilot running. Most of them stalled there. According to Skift, the gap between a pilot and real deployment has nothing to do with the model: somebody inside the business has to own the results, take care of the exceptions and prove the thing pays for itself.
That sounds obvious until you sit in a revenue meeting and nobody can tell you who is accountable when the AI pricing suggestion goes wrong on a sold-out Saturday. Pilots work because someone smart is watching them. Production works when a normal team runs them on a normal Tuesday.
My take: the hotels moving past the pilot stage are the ones that assigned an owner before signing the contract, not after. Naming a real person with a real bonus tied to the outcome beats any proof of concept. Do that and the AI stops being a science project and starts being an operating tool.
Quick questions
What does Skift say is missing to move travel AI out of pilot stage?
Why do most hotel AI pilots never make it to production?
Who should own the results of an AI project in a hotel?
How can a hotel prove an AI pilot is worth the cost?
Does travel AI need more pilots or better ones?
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