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AI Glossary
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AI Agent

An AI agent is an autonomous system that uses AI to perceive its environment, reason, and take actions toward a defined goal.

Short definition:

An AI agent is a software program that can take input, make decisions, and perform actions — often autonomously — to achieve a goal, based on rules, data, or learned behavior.

In Plain Terms

You can think of an AI agent as a digital assistant with a mission. It receives input (like a question, event, or data), figures out what to do based on that input, and then acts — whether that means pulling info, triggering a workflow, or sending a message.

Unlike traditional software, AI agents don’t just follow fixed instructions — they can adapt their behavior, interact with other tools, and even handle complex tasks without needing constant human direction.

Real-World Analogy

Imagine a helpful team member you can assign a task like:

“Whenever someone fills out our contact form, check if they’re a current customer, then either send a follow-up email or create a support ticket.”
An AI agent can do that — on its own, every time, without being reminded.

Why It Matters for Business

  • Handles repetitive tasks automatically
    From triaging support tickets to summarizing meeting notes — agents can reduce manual effort and save hours per week.
  • Connects systems and data
    Agents often act as the glue between platforms (CRM, email, calendar, etc.), running tasks that usually require human hand-offs.
  • Grows with your business
    Need new workflows or automations? Add new agents without overhauling your entire system.

Real Use Case

A startup uses an AI agent to monitor customer reviews. It reads each one, tags the sentiment (positive/negative), flags urgent complaints, and notifies the customer success team — automatically, 24/7.

Related Concepts

  • Autonomous Agents (Type — operate with minimal or no human intervention)
  • Multi-Agent Systems (Multiple agents working together to complete complex workflows)
  • AI Agent Frameworks (Tools that help developers build and deploy agents more easily)
  • Agent-Based AI Workflows (Use of agents in orchestrated, step-by-step business processes)
  • Task-Specific AI(AI that’s designed to solve one specific type of problem — often deployed as an agent)