What is an AI chatbot?

AI chatbot: definition and how it differs

Classic chatbots work with decision trees: users click their way through predefined answers, and the bot barely understands open questions. An AI chatbot, on the other hand, recognizes the request even when it is vaguely worded, asks follow-up questions and responds conversationally. This makes the conversation more natural and lowers the barrier to asking a question in the first place.

This is made possible by a large language model. To ensure that the bot answers about your company rather than in general terms, it is connected to your content—usually via retrieval-augmented generation (RAG)—and given clear rules for tone, topics and boundaries.

How an AI chatbot works

The user types a question into the chat window on the website, the intranet or in an app. The bot searches for relevant information in the stored knowledge base, formulates an answer and can trigger actions if needed—such as suggesting an appointment or creating an inquiry in the CRM.

In the background, system instructions define how the bot presents itself, which topics it covers and when it hands over to a human. Conversation histories can be analyzed in compliance with data protection rules to close knowledge gaps in a targeted way.

• Answer frequently asked questions about services, opening hours or delivery status
• Pre-qualify inquiries and pass them on to the team in a structured form
• Book appointments or schedule callbacks
• Give employees quick access to internal knowledge
• Hand over to a human when the bot can’t get any further

Benefits and limits

An AI chatbot is available around the clock, responds immediately and relieves teams of recurring questions. Visitors get guidance without having to search through pages, and inquiries reach the sales team more complete.

The limits: even a well-configured bot can make mistakes. That is why it needs a well-maintained knowledge base, firm guardrails—such as no binding price commitments or legal information—an easy handover to humans and regular analysis of conversations.

Users should also be able to recognize clearly that they are talking to an AI; the EU AI Act provides for transparency obligations in this regard.

Real-world example: an AI chatbot on a company website

A skilled trades business receives many similar inquiries: Do you also come out to my town? What information do you need for a quote? An AI chatbot answers these questions based on the website content, asks for key details such as project type, location and time frame, and passes the complete inquiry on to the office.

Nano Concepts develops AI chatbots that access your content, blend into the design of your website and can be connected to your CRM or ticketing system. Tone and personality are tailored to your brand.