# Autonomous Agents

Autonomous agents are AI systems that can make and carry out routine decisions within defined goals and boundaries.

## Why it matters

Autonomy is a degree, not a binary label. A system can independently choose steps while remaining tightly constrained in data access, spending, communication, or irreversible actions. The acceptable level depends on task risk and how easily errors can be detected and reversed.

## Example

An agent autonomously categorizes low-risk internal tickets but routes security, legal, and account-deletion requests to named reviewers before taking action.

## FAQ

### What is Autonomous Agents in simple terms?

Autonomous agents are AI systems that can make and carry out routine decisions within defined goals and boundaries.

### Why does Autonomous Agents matter for teams using AI?

Autonomy is a degree, not a binary label. A system can independently choose steps while remaining tightly constrained in data access, spending, communication, or irreversible actions. The acceptable level depends on task risk and how easily errors can be detected and reversed.

### What is a practical example of Autonomous Agents?

An agent autonomously categorizes low-risk internal tickets but routes security, legal, and account-deletion requests to named reviewers before taking action.


Source: https://www.luffy.so/ai-glossary/autonomous-agents

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