Chatbot
A software application that simulates conversation with users, ranging from simple rule-based systems to sophisticated AI-powered assistants.
A chatbot is software designed to communicate with people through text or voice, simulating a conversation. Chatbots range from simple scripts that follow rigid rules to sophisticated AI systems that can understand nuance, maintain context, and handle open-ended questions.
Generations of chatbots
- Rule-based chatbots follow predefined decision trees. "If the user says X, respond with Y." They are reliable but inflexible — any question outside their scripts produces a useless response. Most early customer service chatbots were rule-based.
- Intent-based chatbots use natural language processing to classify what the user wants (their intent) and extract key information (entities). They are more flexible but still limited to predefined intents.
- AI-powered chatbots use large language models to generate responses dynamically. They can handle unexpected questions, maintain multi-turn context, and produce natural-sounding replies. ChatGPT, Claude, and Gemini are examples.
Business applications
- Customer support — handling common queries, routing complex issues to humans, providing 24/7 availability
- Internal knowledge bases — letting employees ask questions about company policies, HR procedures, or technical documentation
- Sales and lead qualification — engaging website visitors, qualifying leads, scheduling meetings
- Onboarding — guiding new users through product setup or new employees through company processes
What makes a good chatbot
- Knows its limitations and escalates to humans when appropriate
- Maintains context across a conversation rather than treating each message in isolation
- Provides accurate, sourced information rather than confident guesses
- Has a clear personality and tone consistent with the brand
- Handles edge cases gracefully with helpful fallback responses
The chatbot trap
Many organisations rush to deploy chatbots without proper planning. A poorly implemented chatbot frustrates users more than no chatbot at all. The key is starting with well-defined, high-volume use cases where the chatbot genuinely adds value.
Why This Matters
Chatbots are often the first AI investment an organisation makes. Getting them right builds trust in AI across the business; getting them wrong creates scepticism that is hard to overcome. Understanding the different types helps you choose the right approach and set realistic expectations for what a chatbot can deliver.
Related Terms
Continue learning in Essentials
This topic is covered in our lesson: Your First AI Conversation