Chatsy
Glossary

Chatbot

A chatbot is a software application designed to simulate human conversation through text or voice. Chatbots range from simple rule-based programs that follow pre-defined scripts to sophisticated AI-powered systems that understand natural language and generate contextual responses.

How it works

There are two main types of chatbots:

**Rule-based chatbots** follow pre-programmed decision trees. They respond to specific keywords or menu selections with pre-written answers. They are predictable but limited — they cannot handle questions outside their programmed scope.

**AI chatbots** use natural language processing and large language models to understand the intent behind messages and generate contextual responses. They can handle unexpected questions, maintain multi-turn conversations, and learn from new content. Modern AI chatbots (2025-2026) use retrieval-augmented generation (RAG) to answer from your specific knowledge base.

Chatbots are deployed as website widgets, in-app messengers, WhatsApp bots, Slack integrations, and voice assistants.

Why it matters

Chatbots are the primary interface for AI-powered customer support. They provide instant responses (vs hours for email), operate 24/7, and scale to handle thousands of simultaneous conversations at near-zero marginal cost. In 2026, AI chatbots resolve 60-80% of common customer questions without human intervention.

How Chatsy uses chatbot

Chatsy is an AI chatbot platform that lets businesses create, train, and deploy chatbots powered by 15+ AI models. Each chatbot is trained on your content (knowledge base, docs, FAQs) and deployed as a customizable widget on your website. It combines AI resolution with live chat handoff for a complete support experience.

Real-world examples

E-commerce FAQ automation

An online retailer deploys an AI chatbot to handle the top 50 questions (shipping times, return policy, order tracking). The bot resolves 70% of incoming chats automatically, reducing support team workload by half during peak holiday seasons.

SaaS onboarding assistant

A software company embeds a chatbot in its app to guide new users through setup. The bot walks users through connecting integrations, importing data, and configuring settings — reducing onboarding support tickets by 60%.

Lead qualification on landing pages

A B2B company adds a chatbot to its pricing page that asks qualifying questions (company size, use case, budget). Qualified leads are routed to sales with full context, increasing demo booking rates by 35%.

Key takeaways

  • Chatbots range from simple rule-based scripts to sophisticated AI systems powered by large language models

  • AI chatbots using RAG can understand natural language and answer from your specific knowledge base

  • Modern AI chatbots resolve 60-80% of common customer queries without human intervention

  • The best chatbot deployments combine AI automation with seamless human handoff for complex issues

  • Chatbots are deployed across websites, apps, WhatsApp, Slack, and other messaging platforms

Frequently asked questions

What is the difference between a chatbot and a virtual assistant?

A chatbot is typically task-specific (customer support, lead capture, FAQ). A virtual assistant (Siri, Alexa) is broader and handles general tasks (weather, timers, smart home). In customer support, the terms are often used interchangeably for AI-powered chat interfaces.

Are chatbots replacing human support agents?

Not replacing — augmenting. AI chatbots handle the 60-80% of repetitive questions that consume agent time, allowing human agents to focus on complex, high-value conversations that require empathy and judgment.

How long does it take to set up an AI chatbot?

On modern platforms like Chatsy, you can deploy a functional AI chatbot in under an hour. Upload your knowledge base content, customize the widget appearance, and embed it on your website. The AI starts answering questions immediately — no coding or training required.

Can chatbots handle multiple conversations at once?

Yes. Unlike human agents who handle 3-5 simultaneous chats, AI chatbots can manage thousands of concurrent conversations with consistent quality and sub-5-second response times. This makes them ideal for handling traffic spikes during product launches or seasonal peaks.

Related terms

Further reading

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