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Catching standard questions
Delivery times, returns, compatibility, opening hours: the chatbot answers the repetitions, the team takes the real cases.
AI & Automation
AI Chatbot for Website and Customer Service
Most website visitors don't read, they search. Someone wanting to know whether a product fits their case, what the delivery time is or how a return works skims three pages and gives up. An AI chatbot turns that around: the visitor simply asks, and gets an immediate answer from your own content, around the clock.
The benefit has two sides, and both can be measured. Outward, the barrier drops: asking a question takes less effort than a contact form, and the answer arrives immediately rather than the next working day. Inward, the load drops: a large share of the enquiries landing in your inbox or ticket system today are repetitions of a few standard cases. Industry analysis suggests the majority of all support tickets fall into a manageable number of categories, and those are exactly the ones that can be answered reliably by automation.
For that to work, the chatbot has to know your business. Under the hood it runs on a large language model (LLM), the same technology as the well-known AI chats. What matters is what we feed it: not general internet knowledge but your content — product descriptions, FAQs, manuals, support documentation, delivery terms. Before every answer the chatbot looks things up there instead of guessing. That is the difference between a chatbot that impresses in a demo and one that stays useful in daily operation.
Existing support material is the starting point, not the obstacle. We take what you have, even when it is spread across manuals, PDF guides and a grown FAQ, and prepare it so the assistant can reliably find things in it. Whatever gaps and contradictions surface come back to you as a list; that is regularly one of the most useful side effects of the project.
Just as important as good answers is an honest limit. The chatbot says when it does not know something instead of improvising, and then hands over to a human — by ticket, email, or straight into an employee's chat window, including the conversation so far. The visitor does not have to repeat anything. And because the EU AI Act requires transparency, it is made clear from the outset that an AI is answering.
On request the chatbot does more than answer: it can capture contact details and write them into the CRM as a qualified lead, book appointments, or check your ERP for the status of an order. It runs EU-hosted, for instance via Azure OpenAI or Mistral, and entirely on your own premises if you prefer.
Concrete deliverables
Answers from your own content, not from the open internet
Your existing support documentation is taken over and prepared
Immediate answers around the clock, including outside business hours
Handover to an employee including the conversation history
Lead capture, appointment booking and status enquiries from CRM and ERP
Transparent AI labelling in line with the EU AI Act
EU-hosted or entirely on your own premises, GDPR-compliant
Multilingual: one knowledge base, several languages
Use cases
What this looks like in practice.
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Guidance instead of walls of text
Instead of reading through product pages, the visitor describes their case and is guided to the right solution.
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Support portal for existing customers
An assistant based on your manuals answers user questions directly, and only opens a ticket when one is actually needed.
How we proceed
Step by step.
Review the most frequent enquiries and existing material
Prepare the knowledge base, define boundaries and escalation
Pilot on one page or one topic area
Evaluate real conversations, refine, roll out
FAQ
Frequently asked questions.
Still have open questions? We're happy to clarify them in an initial call.
- From your own content. We store product information, FAQs, manuals and support documentation as a knowledge base; before every answer the assistant looks things up there. It does not invent anything, and when it finds nothing suitable it says so and hands over.
- That depends on how uniform your enquiries are. The larger the share of recurring standard questions, the greater the relief, and that share is higher in most companies than expected. We look at what actually comes in beforehand, rather than promising a percentage we cannot substantiate.
- The risk can be tightly bounded: the assistant answers only from your stored material, we deliberately block sensitive topics such as price commitments or legal advice, and when in doubt it hands over to a human. We continuously evaluate the conversations so gaps become visible and can be closed.
- Yes. The EU AI Act requires that people can recognise they are interacting with an AI system. We implement that visibly in the chat window. In practice this is unproblematic — visitors do not mind an assistant as long as it helps quickly and leaves the route to a human open.
- Yes, and that is usually the normal case. We start with what exists and initially limit the chatbot to the topics that are well covered. Evaluating the first real conversations then shows precisely where content is missing — a far better basis for filling gaps than any estimate made up front.
How does the chatbot know anything about our company?
How much support effort does this realistically save?
What if the chatbot gives a wrong answer?
Do we have to tell visitors it is an AI?
Our documentation is incomplete. Does this still work?
Related
More services in this area.
AI Consulting & Strategy
We help you deploy AI where it creates real value, not where it is simply fashionable.
AI Automation of Business Processes
Documents, emails, tickets. We automate what repeats.
AI Knowledge Assistant for Your Team
An internal assistant that answers questions from your own documents, with sources.
Let's talk about your project.
Free initial consultation, 30–45 minutes, remote. An honest assessment — even if the answer is that you don't actually need it.