Before your next AI tool: define the workflow, not the hype

Hospitality Net has published a practical framework for hoteliers evaluating AI tools, and the timing is not casual. The sector is drowning in demos, pilots and promises, and the article puts the focus where it belongs: define the workflow problem first, involve frontline staff and assess vendor fit before signing a contract. Three steps that sound obvious and that most properties skip.

The source does not give adoption figures, vendor names or case studies. What it gives is a method, and that is precisely the gap. The hotel tech market has spent two years selling AI as a layer you add on top of the PMS, the channel manager or the guest messaging stack. The result: tools that work in a slide deck and crash against a reception desk on a Saturday at 23:00. The framework in the Hospitality Net piece flips the order. Start with the concrete task that hurts, map who touches it, and only then look at what the vendor actually does.

For a hotel director or a revenue manager, the practical translation is simple. Before the next AI demo, write down the workflow in plain language: check-in, upselling at booking, complaint triage, housekeeping scheduling. Then ask the receptionist, the housekeeper and the night auditor what breaks today. If the tool does not remove a step or shorten a wait, it is not a solution, it is a subscription. The vendor fit check matters too: integration with the existing PMS, data ownership, language support for the actual guest mix, and a clear exit if the pilot fails.

The broader reading for the travel tech ecosystem is encouraging. Hotels are not anti-AI, they are anti-waste. Vendors that arrive with a mapped workflow and a pilot plan will win the next budget cycle over those arriving with a generic copilot. Startups in guest experience and operations should read this framework as a sales script, not a warning.

What to watch: whether hospitality groups start publishing internal adoption checklists of this kind, and whether vendors respond with measurable pilot KPIs instead of feature lists. The opportunity is there. The hotels that define the problem first will get more out of the same tools.