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From the Field · AI in Hotels

The 5 most common AI mistakes in hotels.

AI rollouts in hotels often fail for the same reasons — regardless of size, location or budget. What they are, and how you avoid them from the start.

Fabrice Mack

AI Consultant · Former Hotel GM · May 2026

01

Buying tools before analyzing processes

If you buy first and then ask what to do with it, you have a new problem. AI tools only solve problems that were clearly defined beforehand.

02

Leaving the team out

Software nobody understands is software nobody uses. Team training isn't an extra — it's half the project.

03

Waiting for the wrong ROI

Not every AI rollout saves money right away. Some save time, some reduce errors. Both are worth something.

04

Wanting everything at once

Automate five processes at the same time and you'll fail at two. One quick win is more convincing than a master plan that never gets finished.

05

Choosing the vendor instead of the advisor

Whoever sells software recommends their software. Independent advice looks at your operation first — then at the tools.

Make none of these mistakes — from day one.

In a free 30-minute call, we look together at which AI measures actually make sense for your operation.

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The 5 Most Common AI Mistakes in Hotels | Mack Hernandez AI Consulting