AI Chat Assistants
We build premium AI chatbots and assistants, trained on your own content, that qualify leads, answer customers around the clock and book appointments. Not a scripted widget. A trained system that becomes part of how your business runs.
A chatbot is the first thing many customers now meet of your business. That is exactly why it should not be the cheapest part. We build serious conversational systems, grounded in your real material, wired into the tools behind them, and held to clear limits so they stay safe in front of real people. This is the build, not a tutorial. If you want the full background on cost, timelines and how to choose a builder, our guide on having an AI chatbot built covers it in depth. This page is about what we deliver and why it holds up.
A language model out of the box knows a great deal about the world and nothing about your business. It does not know your prices, your delivery times or your return policy, and asked directly it will either refuse or invent a confident, plausible-sounding answer. For a tool that speaks to your customers, a confident wrong answer is far more dangerous than no answer.
That is why we ground every build in your own material with RAG. Your content is indexed, the system retrieves the relevant passages first, and the model answers using only that source. It becomes a careful reader of your knowledge rather than a guesser, it can point to where an answer came from, and it refuses gracefully when something falls outside what it knows.
Premium is not decoration here. It is discovery into your real questions, clean knowledge preparation, conversation design in your voice, the integrations behind the scenes and the guardrails that make it safe. A generic widget skips all of that, which is precisely why it disappoints. We build the layer of judgment that sits between your customer and your business, and we tune it after launch rather than walking away.
Cost splits in two and we are open about both. A focused chatbot with a tight scope and a clean knowledge base typically lands between 2.500 and 6.000 euro to build; a broader build with multiple integrations and a larger knowledge set runs from roughly 7.000 to 20.000 euro and up. On top sits a real monthly running cost for model usage, hosting of your knowledge index, monitoring and maintenance, usually between 150 and 600 euro per month, scaling with conversation volume.
For a focused, single-purpose chatbot, expect roughly 2-4 weeks from kickoff to a live pilot. A broader build with multiple integrations or several departments typically runs 6-10 weeks. The first two weeks after launch matter most: we watch the real conversations, find the gaps and refine. A chatbot is not a project you finish, it is a system you tune.
Two ways. First, RAG: the assistant answers only from your indexed material, not from open-ended guessing. Second, guardrails: clear rules on what it may say, hard limits on prices and promises, and a refusal-with-handoff when a question falls outside its knowledge. A bot that occasionally says it will connect you with a colleague earns far more trust than one that answers everything and is sometimes wrong.
Your website, your CRM, your inbox, Google Calendar, your booking systems, Shopify and most tools with an API or webhook. The chatbot lives on your site, matched to your brand, and reaches into the systems behind it so a conversation can become an action: a record created, an appointment booked, an order looked up.
You do. The knowledge base is built from your own content and stays yours, the conversation logs are yours to review, and the system runs on infrastructure you can take with you. We build it to be handed over, not to lock you in, and we keep the setup transparent so you always know what the assistant knows and where its answers come from.
When the work is rare and every case is unique. A chatbot earns its place on volume and repetition: dozens of similar questions a day following a recognisable pattern. If something happens twice a month and every instance is different, automation rarely pays off. The honest test is not whether a chatbot could do it, but whether it happens often enough to be worth automating. We will tell you if it does not.
Let us build the assistant your business deserves Tell us where the volume sits and which questions come in. We will map the build, the integrations and a realistic path to a live pilot in 2-4 weeks.