Start here: the basics
AI agents vs agentic AI: what is the difference?
An AI agent is a specific system you can name and switch off. Agentic AI is the general term for building AI that acts rather than just answers.
An AI agent is one piece of software. It takes a goal, picks a step, uses a tool to do it, checks what happened, and keeps going until it's finished. A coding agent that fixes a failing test is an AI agent. So is a support bot that looks up an order and issues the refund. What is an AI agent? goes through that loop with real products.
Agentic AI is the adjective, and people use it loosely. It can mean one workflow where agents do the steps, or the whole trend of AI that acts.
Side by side
| AI agent | Agentic AI | |
|---|---|---|
| What it is | One system with a goal and tools | The approach, and the category of systems built that way |
| Grammar | A noun: you deploy an agent | Usually an adjective: an agentic system |
| Example | A coding agent that runs your tests and opens a pull request | A workflow where several agents research and write a report |
| Where you see it | Product docs, engineering conversations | Analyst reports, vendor marketing |
Vendors stretch both words. Some products called agentic can only answer questions. If you're evaluating one, ask what tools it can use and what it can change without asking you first.
An example
A team wants a weekly report on customers who might cancel.
Deciding to have AI produce that report end to end, instead of someone pulling numbers into a spreadsheet, is the agentic part. The agents are the pieces doing it. One queries the product database for accounts whose usage dropped. Another reads those accounts' recent support tickets and writes the summary into Slack.
You can give each of those agents its own access and turn either one off. You can't do that to "agentic AI". It's a description of the design.
Why the distinction is useful
Permissions and audit logs attach to agents, because an agent is something you can identify. Once AI starts acting, the questions you need answered are about one specific agent: what it was allowed to touch, and whether you can stop it without stopping everything else.
Agent identity covers giving each agent its own name and credential. MCP permissions covers limiting it to the tools its job needs.