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← Glossary
Agents

What is an AI agent?

An AI agent is software that pursues a goal on its own. Instead of following a fixed script, it decides what to do next, calls tools to get information or take action, checks the result, and repeats until the task is done, with little or no human input at each step.

An AI agent is the practical unit behind most business AI automation today. It combines a language model (the reasoning) with tools (the ability to act) and a goal (what you want done). Given a task, it works through the steps itself rather than waiting for a person to click through each one.

How an AI agent works

  1. Goal, you give it an objective in plain language ("draft a reply to every unanswered support email from today").
  2. Plan and act, the model decides the next step and calls a tool to do it (read the inbox, look up the order, write a draft).
  3. Observe, it reads the tool's result and decides whether the task is done or needs another step.
  4. Repeat, it loops until the goal is met, then reports back.

This loop, decide, act, observe, repeat, is what separates an agent from a one-shot chatbot reply. For the longer version with real business examples and how agents differ from workflow automation, see what is an AI agent.

AI agents in Oido

In Oido, an AI agent is an "AI employee" you configure once and reuse. You give it a role, connect the tools it needs through integrations, and deploy it to a channel like Slack, WhatsApp, or Telegram, or run it on a schedule. Agents run on the model provider you choose, so you are never locked to a single vendor.

Frequently asked

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

A chatbot answers questions in a conversation. An AI agent takes action: it can search systems, update records, send messages, and complete multi-step tasks. A chatbot tells you the answer; an agent goes and does the work.

Do AI agents replace employees?

Usually they take over repetitive tasks, data entry, follow-ups, routing, reporting, so people spend time on judgment and relationships. Most teams use agents to scale output without adding headcount, not to remove roles.

What can an AI agent actually do?

With the right tool connections, an agent can read and write to your CRM or database, search the web, send Slack or email messages, run scheduled reports, and chain these into a full workflow.

Related terms
agentic automationan AI employeemulti-agent orchestrationtool calling
See how Oido puts this to work →← Glossary
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