AI at the front desk
AI chat for your website
Your site's visitors have questions — about services, prices, how to reach you — and most of them leave without asking. An AI chat integrated into the site answers those questions in real time, day and night: not a fixed-menu responder, but a real assistant that knows your content, guides navigation and walks the visitor all the way to a contact request.
We don't just talk about it: we use it. The assistant you see in the bottom-right corner of this site is exactly this service — try it, ask it a few questions, and watch how it collects the request and pre-fills the form.
What an AI assistant does on your site
Much more than a chat: a front-desk clerk who never sleeps.
- Answers questions about services, products, prices and how you work
- Guides visitors to the right page instead of leaving them to search
- Collects requests and qualified leads: when the conversation is ripe, it prepares the contact
- Speaks the visitor's language, on multilingual sites too
- Keeps your brand's tone: formal, friendly, technical — your call
- Available 24/7: Saturday-night questions don't wait until Monday
Trained on your content, not on the internet
The difference between a gadget and a serious assistant lies here: answers must come from your content, not the model's imagination. That's why, where needed, we configure a dedicated knowledge base (technically: RAG, Retrieval-Augmented Generation) with the relevant information from your site — pages, price lists, FAQs, documents, terms of service.
The assistant draws from there: it answers precisely about what it knows, and when it doesn't know something it says so and hands over to human contact, instead of making things up. The knowledge base is updated together with your content, so answers stay aligned with the site.
How we integrate it
The integration works through the AI models' APIs (Anthropic Claude, OpenAI), with custom development: the chat is designed for your site — look, tone, flows — and connected where needed to the contact form, the catalogue or your systems. Together we define the boundaries: what the assistant may say, what it must not say, when it should hand the conversation over to you.
All of it compliant: conversations are processed server-side, data is not used to train the models, and the privacy policy is updated accordingly — the same rigour we apply to GDPR and cookie compliance. For special features (ERP integrations, bookings, restricted areas) our custom development approach applies.
You're looking at the demo right now
This site's FIXOTRON-DIAG assistant does exactly what you'd read in a quote: it welcomes the visitor, understands the problem with a few questions, and delivers a pre-filled ticket — which a human reads and works on. No cold forms, no lost requests.
Open the bubble in the bottom-right corner and put it to the test. If it convinces you there, it will work on your site too.
Frequently asked questions
How much does an AI chat integration cost?
It depends on two factors: the depth of the integration (information only, or also request collection, bookings, external systems) and the knowledge base to configure. After the analysis you receive a fixed quote, plus a small recurring cost for AI API usage — transparent and proportional to traffic.
Can the AI give wrong or invented answers?
That's the risk a serious integration eliminates: the assistant answers only from your content, with defined boundaries on what it may say. When it doesn't know something, it says so and offers human contact — it doesn't improvise.
Does it work in multiple languages?
Yes: the assistant replies in the visitor's language. On multilingual sites we connect it to the content of the right language, consistent with the site's structure.
Does it require WordPress, or does it work on any site?
It works on any site: WordPress, WooCommerce, Shopify or custom builds. Only the way we integrate it changes, not the result.
What happens to conversation data?
Conversations are processed server-side through professional APIs: data is not used to train the models, and retention is limited and declared in the privacy policy, which we update as part of the job.
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