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AI for hospitality

Multilingual AI that draws in more guests — and answers them from your materials, in their language, around the clock.

Guests write in different languages and at different hours. The front desk cannot keep up with all of it — and it should not have to. AI handles the repetitive questions, tells the story of your property and its surroundings, and multilingual content reaches guests who do not know you yet. You build the relationship before the guest reaches your doorstep.

The problem

Guests abroad write in the small hours — and often will not get an answer in time.

The front desk answers well — but not in every language, not at every hour and not to every question at once. A query in English at night, in Norwegian at peak season, in Chinese before booking — these are easy to lose or answer with a delay that costs the stay. And some guests abroad will never find you, because your content does not reach them in their language.

A generic chatbot does not solve it — it makes things up about your property, the area and the offer, because it knows nothing about them. The guest gets a confident answer that misses the truth — and loses trust. Something else is needed: a system that answers from your materials, in the guest's language, and flags where the information comes from.

Use cases

Four things AI does for your hotel — and none of them replaces the front desk.

Each of these either widens your reach or frees the front desk from repetitive questions. Staff stay where they are irreplaceable — with the guest.

Multilingual concierge, 24/7

The chatbot answers guest questions in their language — about hours, the offer, the rules, parking, the area. Answers come from your documents and materials, not from the model guessing. When the knowledge base has no answer, the system says "I don't know" and redirects to the front desk.

The story of the place and the area

The history of the property, nearby attractions, local recommendations — personalised for each guest and available in their language. The guest feels guided, not left with a search engine.

Multilingual content that reaches new guests

A podcast, a video, an article — produced and distributed multilingually, the way Semitora does it for its own brand. A guest from Germany, Scandinavia or Japan finds your hotel before they even start looking for a place to stay in your area. That is reach you will not build by hand.

FAQ and booking queries at peak

Questions about availability, cancellation terms, getting there, amenities — AI handles the same questions asked for the hundredth time, so the front desk has time for the ones that need a human.

What to watch

AI in guest service calls for transparency, data control and oversight of the message.

Transparency towards the guest (the AI Act)

A guest should know they are talking to an AI system, not a human. AI-generated content may fall under a labelling obligation — the rules here are worth tracking and rolling out gradually. We build systems with that assumption from day one.

Guest data and GDPR

Conversations with a guest are personal data. The system has to know what it stores, for how long and on what basis — and it cannot send that data outside a controlled environment. We put the knowledge base and the whole backend on AWS, in your cloud account.

Oversight of the message

The chatbot answers only from the materials you supply — it does not invent prices, availability or rules it does not know. But the quality of the knowledge base determines the quality of the answers. That is why we build evaluations and monitoring into the system, rather than adding them after the fact.

Proof

We built it ourselves — our own product and our own brand run on AI.

100%

AI extraction accuracy on packaging data (validation set, n=200)

$0.0006

cost per AI scan in production

302,516

drug-interaction records in the production knowledge base

The numbers you will see in the full case study come from mojApteczka — our own product in healthcare. They show the engineering: cost per query, extraction accuracy, the scale of the knowledge base. The same approach — RAG with citations, multilingual content, automated evaluations — runs our own Semitora brand: blog, podcast, videos and a chatbot across many languages, almost hands-free. Case studies from hospitality — coming soon.

See how our brand runs

Questions

Before you ask

No — and that is not the goal. AI handles the questions asked for the hundredth time at any hour: opening hours, getting there, the offer, the rules. The front desk stays where it is irreplaceable — with the guest, in a difficult situation, at the first face-to-face contact. Taking the repetitive questions off their plate means more time for what matters.

Start with an audit — within a few weeks you will know what to roll out and in what order.

We'll check where AI genuinely helps your hotel and what it takes. A concrete map, not a sales pitch.