AI Assistants for Websites

Regular chatbots either follow rigid scripts or generate plausible text. Our assistant answers from verified facts about your business, and when a question falls outside what it knows, it says so and brings in a person instead of guessing.

It is designed not to. Prices, availability and deadlines come only from confirmed facts or your live data, and anything uncertain is marked as approximate or handed to your team.

We build on leading models such as Claude and ChatGPT and keep the assistant independent of any single model, so switching or upgrading does not require a rebuild.

Yes. Depending on what you use, it can book through your calendar or booking system and pass qualified leads with a summary to your CRM or email.

Especially well. Many local inquiries arrive after hours. The assistant answers questions about your service area, hours and services, qualifies the request and books the next step, so the lead is not lost overnight.

It replies in the visitor's language. We test it in the languages your customers actually use and adjust answers to the terms of each market.

We define what the assistant stores, for how long, and what it never asks for, and configure data handling to the rules that apply to your business. Conversations are used to improve your knowledge base, not published.

Usually a few weeks for the first version, depending on the size of your knowledge base and integrations. The first month after launch is spent closing gaps based on real conversations.

It depends on the number of conversations, their length and the model. Vendors charge per million tokens: as of October 2026, smaller models such as Claude Haiku 5.5 or gpt-6-luna cost $0.10 per million input tokens and $0.50 per million output tokens, mid-tier models such as Claude Sonnet 5.5 or gpt-6.1-sol $2 and $10. In our illustrative example a six-exchange conversation costs about 6 cents on a mid-tier model and about a third of a cent on a small one. Before launch we estimate the volume at real traffic, decide which questions need no full model call, and set a monthly limit with a defined behaviour when it is reached.

Yes, through an integration with your store, booking system, CRM or ERP; that is the version from $12,000. The assistant then reads the figure at the moment of the question instead of repeating text that may be out of date. Access is read-only unless a task needs more, such as creating a booking. If the system does not hold the answer, the assistant says it cannot confirm it and offers to pass the question to your team.

The questions customers actually ask, from email, chats and your sales team; the documents and pages that hold your services, prices, terms and policies, and the person who owns each of them; the languages and markets you serve; your rules for when a conversation goes to a person and to whom; and, for the integrated version, access to the booking system, CRM or store the assistant has to read. Nobody needs to write a knowledge base in advance: we build it from these materials and you approve it.

Yes, and we label the assistant as an AI from the first message. It sets the right expectations, it makes the route to a person part of the design rather than a failure, and in some markets it is a legal requirement: Article 50 of the EU AI Act requires systems that interact directly with people to be designed so that people know they are dealing with an AI unless that is obvious. An assistant that pretends to be a person loses more trust the first time it gets something wrong.

Not by itself. It gets only the permissions its task needs, set in code outside the model: typically reading facts, creating a lead and booking a slot. Discounts, refunds, order changes and exceptions go to a person with a summary of the conversation, and the assistant never asks for card numbers or passwords in the chat. If you later want it to act in more systems, each new action is added with its own limits and, where the consequence is costly, a person's approval.

No, those are separate jobs. Outside assistants such as ChatGPT, Perplexity or Google AI Overviews build their answers from public pages, profiles and mentions, and they do not read conversations in a chat window on your site. What helps both is the same groundwork: clear, current facts about services, prices and terms on real pages. Visibility in outside AI answers is the work of AEO and GEO optimization, which starts with an audit for $1,500.