Glossary

AI agent: what it is, and how it differs from a chatbot

An AI agent is software that uses a language model to pursue a goal on its own: it plans the steps, calls tools and systems, reads the results and decides what to do next. A chatbot answers a question; an agent completes a task. In a business, agents work inside existing systems and within written limits on what they may decide.

Shaun DevanFeaturing insights fromShaun Devan · Founder & CEO

Updated · 3 min read

AI agent vs chatbot vs assistant

ChatbotAI assistantAI agent
DoesAnswers questionsHelps a person with a taskCompletes a task end to end
Acts in systemsRarelyThrough the userDirectly, through tools and APIs
Who decidesThe userThe userThe agent, within its authority
ExampleWebsite FAQ botDrafting a reply in emailDeciding an insurance endorsement

What an agent is made of

  • A model that reads, reasons and writes.
  • Instructions and context: the rules, examples and data it needs for the task.
  • Tools: the APIs, databases and systems it can read from and write to.
  • Authority and controls: what it may do alone, what it must refer, and a log of every action.

Agents in production

Native helped TIE put agents on every endorsement request for a transportation insurance MGA. They check each one against the policy and the rules and either decide it or hand an underwriter a pre-filled decision; 74% now need no underwriter. See Native Agents.

Sources

Frequently asked questions

What is the difference between an AI agent and a chatbot?

A chatbot answers questions in a conversation. An AI agent takes actions toward a goal, using tools and systems, and can complete work without a person driving each step.

Are AI agents safe to use in a business?

They are when they run within written authority, are tested against real past cases before release, log every action, and refer anything outside their limits to a person.

What can AI agents do for a company?

Common uses include reading and entering orders and invoices, reviewing applications and claims, sourcing candidates, answering calls, and querying business data in plain English.

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