Definition: An AI chatbot is a software program that uses artificial intelligence — specifically large language models (LLMs) — to understand and respond to human messages in natural language.
Modern AI chatbots are fundamentally different from the rule-based bots of the past. Traditional chatbots operated on decision trees — if the user says X, respond with Y. They required manual scripting for every possible conversation path and broke down the moment a user deviated from the expected script.
AI chatbots powered by large language models (LLMs) understand intent, not just keywords. A user can phrase the same question a dozen different ways — "How do I cancel?", "I want to cancel my subscription", "Cancel my account" — and the AI understands they're all asking the same thing and responds appropriately.
This makes modern AI chatbots dramatically more capable and natural to interact with. They can handle multi-turn conversations (remembering context from earlier in the chat), answer complex follow-up questions, and generate responses that feel genuinely helpful rather than scripted.
Converso is an example of an AI chatbot builder. You train it on your website content and documentation, and it creates an AI chatbot that answers your customers' questions using your specific information — not generic internet knowledge.
A customer types a question or message into the chat interface on your website or app.
The large language model analyzes the message, understands the user's intent, and determines what kind of response is needed.
Using Retrieval-Augmented Generation, the chatbot searches your knowledge base for the most relevant content to ground its response.
The LLM generates a clear, accurate, conversational response based on your content — and delivers it to the user instantly.
AI chatbots never sleep, take sick days, or go on holiday. They're available every hour of every day for every customer.
One chatbot can handle thousands of conversations at once — no queues, no wait times, no scalability limits.
Every response maintains the same accuracy and tone. No 'Monday morning' answers or end-of-shift fatigue.
By automating tier-1 support, businesses typically reduce support costs by 40-60% while improving response times.