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Product 5 min read

Chatbot vs. AI agent: what sets Databot apart from traditional bots

A chatbot answers. An AI agent takes action. The difference seems small, but it changes everything: it quotes, schedules, hands off and recommends without human intervention.

Illustration of Databot as a central platform connected to Shopify, VTEX, PrestaShop, databases, webhooks, APIs and company data

For years, “chatbot” meant a menu with buttons: press 1 for sales, 2 for support. It worked for the basics, but any question outside the script ended in frustration.

AI agents change that logic. The difference comes down to one sentence: a chatbot answers; an agent takes action.

The traditional chatbot

  • Follows predefined flows (decision trees).
  • Recognizes keywords, but does not understand context.
  • When the question does not fit the flow, it hands off or gets stuck in a loop.
  • Every new case means designing a new flow.

The AI agent

  • Understands natural language, even with typos or long messages.
  • Answers with your business information (documents, website, catalog).
  • Uses tools: queries systems, creates tickets, schedules appointments, captures leads.
  • Decides when to hand off to a person and passes along the full context.

Databot platform diagram: data sources (Shopify, VTEX, documents and APIs), AI configuration with instructions, knowledge and tools, intelligent chat and actions such as sales, scheduling, tickets and human handoff

How an AI agent works in Databot: it connects to your data, is configured with instructions and tools, answers with real information and takes action.

What “taking action” means

With the Databot Tools Manager, the agent does more than chat; it acts:

  • Quotes: takes the customer’s information and generates a quote.
  • Schedules: checks availability and books the appointment.
  • Hands off: creates a ticket in the ticketing system or transfers to a rep based on rules.
  • Recommends: suggests products based on what the customer is looking for.
The agent takes a quote request and, if the customer prefers to talk to a person, hands them off to an agent with full context.

When does a flow still make sense?

Flows are not going away. They are useful when the process must follow exact steps, for example, to verify identity or meet a legal requirement. The ideal approach is to combine them: flows for regulated processes and an AI agent for everything else.

In summary

ChatbotAI agent
UnderstandingKeywordsNatural language and context
KnowledgeHand-written answersYour knowledge base
ActionsLimited to the flowTools and integrations
MaintenanceRedesigning flowsAdjusting instructions and content

Learn more about AI agent configuration or book a demo.