AI Doesn’t Need More Prompts: It Needs to Understand How Your Hotel Works
The real advantage of AI in hospitality will not come solely from increasingly powerful models, but from teaching them how a hotel actually operates. Procedures, policies, priorities, exceptions, service standards and decision criteria represent operational knowledge that many organisations still hold only in the experience of their people. Structuring that knowledge improves AI recommendations while also supporting training, delegation, operational consistency and organisational learning. When every hotel can access similar AI tools, the difference will lie in the knowledge each property can put behind them.
There is one idea I find particularly useful for understanding how we should introduce Artificial Intelligence in Hospitality. The principle is very similar to bringing a new person into the team. We can hand them a list of tasks, show them where their workstation is and expect that, with a little intuition and considerable patience, they will work out for themselves how we do things. Or we can explain our procedures, priorities, standards, exceptions and decision-making criteria. In both cases, we will have someone working. What we are unlikely to have in the first is consistency.
Exactly the same applies to Artificial Intelligence. We can open a tool, write an instruction and expect a brilliant answer. Sometimes, we will even get one. But if we intend to use AI to influence real hotel decisions—Housekeeping planning, guest communications, commercial analysis, revenue management, training, maintenance, purchasing or any other process—we soon discover that an AI that does not know the hotel can reason correctly and still recommend the wrong decision.
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