AI & digitalization
AI in Hotels: What Works Today — and What Remains a Promise
6 min read
Hardly any software offer today comes without an AI promise. Between marketing and reality, however, there is a lot of room. This article sorts out what already works in practice — and where caution is warranted.
What works reliably today
Proven AI applications share one trait: they work with clear data and narrow tasks.
- Inquiry handling: standard questions about arrival, prices, amenities via chat or email drafts
- Text production: responses to reviews, proposal building blocks, multilingual guest communication
- Analysis: summaries from review platforms and guest feedback
- Forecasting: demand estimates as decision support for revenue management
Where the limits are
AI does not replace process clarity. A system built on poor master data or undefined workflows automates the chaos — it does not solve it. And for pricing decisions, complaints or special requests, human review remains mandatory: an AI's mistake carries your name.
Data protection is not a detail
Guest data in AI systems falls under GDPR. Before every deployment clarify: where is data processed, is it used for training, is there a data processing agreement? Serious vendors answer in writing. Vague answers are a disqualifier.
The sensible entry point
Start with one narrow, measurable application — for example drafts for review responses. Define in advance how you will measure the benefit (time saved, response rate, quality). Only when that works is the next step worthwhile. AI as a strategy fails; AI as a tool for a concrete problem works.
Bottom line
AI in hospitality is neither miracle nor mere hype — it is a tool with clear strengths and clear limits. Those who start small, measure benefit and take data protection seriously already extract real value today.
Unsure where your project stands?
The free CORBU Project Check shows in twelve questions where your software project stands and which next step is worthwhile.