An AI assistant that knows only your business

Your customers are asking questions right now — about your opening hours, your prices, your cancellation policy — and either nobody answers, or a generic AI makes something up. There is a better option: an AI assistant trained exclusively on what your business actually knows, answering correctly every time.

The real cost of "good enough" answers

Think about the last time a customer got the wrong information. Maybe a staff member quoted an old price. Maybe someone read your homepage and still called to ask something that was right there in your FAQ. Maybe a prospect asked a question at 11 pm on a Sunday and got nothing back until Tuesday morning — by which point they had booked somewhere else.

These are not edge cases. They are the everyday friction that quietly costs small and mid-sized businesses real money. A hotel loses a direct booking because the OTA chatbot answered faster. A training academy loses a sign-up because nobody confirmed the schedule in time. A coffee roaster loses a wholesale enquiry because the email went unanswered over a long weekend.

The standard response to this problem is to hire a generic AI chatbot. The trouble is that a generic AI assistant — even a very capable one like ChatGPT — does not know your business. It will confidently invent an answer when it does not have the real one. That invented answer might be harmless. It might also be the wrong price, the wrong policy, or a promise you cannot keep. Businesses that have tried off-the-shelf AI tools often discover this the hard way.

What a company-specific AI assistant actually looks like

The solution is not a smarter chatbot. It is a different architecture entirely. Instead of connecting a language model to the open internet, you connect it exclusively to your company's own verified knowledge: your pricing documents, your service descriptions, your FAQs, your policies, your product catalogue, your team handbook. The AI can only answer from that material. If the answer is not in your knowledge base, it says so — and routes the question to a human instead of guessing.

This is what Domani builds with the Wissens-Gehirn (Knowledge Graph). We take the knowledge that currently lives in your head, your PDFs, your website pages, and your staff's email drafts, and we structure it into a clean, verified knowledge graph. That graph becomes the single source of truth your AI assistant draws from. When a guest asks about your breakfast times, the assistant checks your knowledge graph — not Wikipedia, not a training dataset from 2023, not a hallucinated approximation. Your answer. Verbatim.

The setup works across the channels where your customers already are: a chat widget on your website, a WhatsApp integration, an internal tool your team uses to look up procedures without calling the manager. You do not need a development team, a data scientist, or a six-month IT project. Domani handles the build. You supply the knowledge; we structure it and connect the AI to it.

One important note on transparency: a well-deployed AI assistant should identify itself as an AI when a customer asks. This is both good practice and, under the EU AI Act, a legal requirement. Done right — leading with a genuinely helpful answer before the formalities — it does not hurt trust. It builds it.

Why this approach is more reliable than a generic AI tool

There is a version of this conversation where someone shows you an impressive demo of a large language model and says "just use that." We have seen why that fails in practice. A general-purpose AI assistant hallucinates because it is designed to produce plausible-sounding answers, not verified ones. Your customers cannot tell the difference until something goes wrong.

Domani's approach is different in three concrete ways. First, the knowledge graph is curated and fact-checked — it contains only what you have approved, so the AI has no other source to draw from. Second, when the assistant encounters a question outside its knowledge, it hands off gracefully rather than inventing an answer. Third, you own the knowledge graph. After 24 months, the entire system belongs to you — not a vendor, not a platform. You can take it, move it, expand it.

We work with real businesses — hoteliers, academy owners, service companies — not hypothetical enterprise pilots. Our pricing is fixed (Festpreis), agreed upfront, with no per-seat licences or surprise consultancy fees. And because we operate under DSGVO-compliant infrastructure, your customers' data stays where it belongs.

How to get started in one conversation

The first step is a conversation, not a commitment. You tell us where your knowledge currently lives — a Google Drive folder, a staff handbook, a messy FAQ page — and we show you how a knowledge graph would be structured from it. You will leave with a clear picture of what your AI assistant would know, how it would behave, and what it would cost.

There is no obligation, no discovery fee, and no requirement to understand what RAG or vector embeddings mean. You understand your business. We handle the rest.