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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.

Operational Review

In practice, chatbot should be evaluated by what it changes in the support workflow. Ask whether it improves answer accuracy, reduces repeated agent work, clarifies handoff decisions, or makes reporting easier. If the answer is only "it sounds modern," the concept is not yet operational.

A concrete example is 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.

The simplest takeaway is: Chatbots range from simple rule-based scripts to sophisticated AI systems powered by large language models

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

Conversational AI

Conversational AI is a category of artificial intelligence that enables software to understand, process, and respond to ...

Natural Language Processing (NLP)

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understan...

Human Handoff

Human handoff (also called human takeover, agent escalation, or live agent transfer) is the process of transferring an o...

Further reading

Building Your First Ai AgentComplete Guide Building Ai Chatbots

Related Resources

Customer Support BlogSee Chatsy Features

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Browse the glossary

Conversational AIRetrieval-Augmented Generation (RAG)Vector SearchHuman HandoffCSAT (Customer Satisfaction Score)First Response Time (FRT)Ticket DeflectionNatural Language Processing (NLP)EmbeddingKnowledge BaseLive ChatSentiment AnalysisHybrid SearchLarge Language Model (LLM)AI HallucinationPrompt EngineeringAgentic AIAI AgentFine-TuningIntent ClassificationTokenContext WindowOmnichannel SupportSLA (Service Level Agreement)NPS (Net Promoter Score)Average Handle Time (AHT)First Contact Resolution (FCR)WebhookSemantic Search

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