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.
Unsure how the AI Act classifies your systems? Start with an EU AI Act compliance audit.
Proof
We built it ourselves — our own product and our own brand run on AI.
RAG
versioned knowledge, source citations and controlled refusal
$0.0006
rounded inference-layer cost per AI scan
302,516
drug-interaction records in the production knowledge base
The full mojApteczka case study — our own product in healthcare — shows the architecture, the stated knowledge-base snapshot and the scan inference-layer cost together with their scope and limitations. It is not a universal quality benchmark. 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 runsQuestions
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.
From the sources you supply — brochures, policies, offer descriptions, materials about the area. The system searches those materials and answers strictly on their basis, citing the source. When the base has no answer, it says "I don't know" and directs to the front desk. It does not make things up.
That depends on the language model we choose for the project — the leading models on AWS handle dozens of languages with no extra integrations. We start with the languages that matter for your market and widen the reach as needed.
We put the knowledge base and backend in your own AWS account — the data does not leave your cloud infrastructure. The project accounts for GDPR requirements: purpose of processing, retention period, data minimisation. That is part of the project, not an afterthought.
We start with an audit — we map your processes, materials and needs, and decide what to roll out first and how. Pricing depends on scope: the number of languages, integration with your booking system, the size of the knowledge base. The audit usually takes a few weeks. A PoC — proof that it works on your data — can be attached to the audit.
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.