Blog · October 31, 2026

What Is Agentic AI? A Plain-English Guide

Agentic AI is artificial intelligence that works toward a goal by planning steps and taking actions, rather than only answering a question. You describe an outcome, and an agentic system decides what to do, uses tools such as a browser, files, apps or other software to do it, checks the results and adjusts until the task is done or it needs you. IBM’s short definition captures it well: agentic AI "can accomplish a specific goal with limited supervision."

The term is everywhere right now, from enterprise software pitches to new Windows 11 features. This guide explains what agentic AI means as a concept, how it differs from the chatbots most people know, how it works under the hood, where you will meet it, what the real trade-offs are, and what it looks like when agentic AI arrives on your own computer.

If you want the hands-on version, focused on agents running on your own PC, read our companion guide: What Is an AI Agent on My Computer? This article stays with the bigger picture.

Agentic AI definition, in plain English

"Agentic" comes from "agency": the ability to act on your own. An agentic AI system has some agency. Within limits you or a developer set, it chooses what to do next.

Vendors word the definition differently, but they agree on the core idea:

IBM: agentic AI is "an artificial intelligence system that can accomplish a specific goal with limited supervision."
Google Cloud: agentic AI is "an advanced form of artificial intelligence focused on autonomous decision-making and action."
AWS: agentic AI is "an autonomous AI system that can act independently to achieve pre-determined goals."

Put simply: a chatbot tells you how to do something. Agentic AI tries to do it.

Agentic AI vs. AI agents: what’s the difference?

People use "agentic AI" and "AI agents" almost interchangeably, and in everyday conversation that’s fine. If you want the precise version:

An AI agent is a single piece of software that uses an AI model to take actions toward a goal: for example, an assistant that books a meeting or a coding tool that edits files.
Agentic AI is the broader approach, the category of systems built around agents. Google Cloud puts it this way: "Think of AI agents as individual tools in a toolbox, while agentic AI is the coordinated use of those tools to build an entire house."

Anthropic, which builds the Claude models, draws another useful line. It calls the whole family "agentic systems," then separates workflows, "systems where LLMs and tools are orchestrated through predefined code paths," from agents, "systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks." The more the AI decides its own steps, the more agentic it is.

Agentic AI vs. generative AI and chatbots

Generative AI creates content: text, images, code or audio. A chatbot is the most familiar way to use it. You ask, it answers, and you decide what to do with the answer.

Agentic AI usually uses a generative model as its "brain" but adds the ability to act. Google Cloud describes agentic AI as "a subset of generative AI that is centered around the orchestration and execution of agents that use LLMs as a ’brain’ to perform actions through tools."

	Chatbot (generative AI)	Agentic AI
You give it	A question or prompt	A goal
It produces	An answer, draft or image	A finished task, plus a report of what it did
Uses tools	Rarely, or only when asked	Yes: browsers, files, apps, code, connected accounts
Number of steps	Usually one reply	Many steps, chosen as it goes
Who carries out the work	You	The AI, within the access it has

The same product can be both. A chat assistant becomes agentic when you switch on a mode that lets it browse, click, run code or use your connected apps.

How agentic AI works

Most agentic systems follow a loop that looks something like this:

Understand the goal. You describe what you want, such as "compare three vendors and draft a summary for the team."
Plan. The model breaks the goal into steps.
Act with tools. It uses whatever tools it has been given: a web browser, a file system, a terminal, an email or calendar connection, or another program’s interface.
Observe. It looks at the result of each action, such as a web page, a file or an error message.
Adjust and repeat. It picks the next step based on what it saw, and keeps going until the goal is met, it gets stuck, or it needs your approval.

Two things make this work. The first is tools: an agent can only do what its tools and permissions allow. The second is memory and context: the agent keeps track of what it has already tried so it can build on it.

Agentic AI examples

Agentic AI shows up in three broad places.

In business software

Enterprise vendors are building agents that handle multi-step work such as customer service cases, IT tickets, data analysis and software development. This is where most "agentic AI" marketing is aimed, and it’s why the term often sounds like corporate jargon.

In everyday assistants

Chat assistants now offer modes that act, not just answer: browsing websites, filling in forms, working with files and using connected apps such as email and calendars. Some work on the vendor’s own virtual computer in the cloud. Others run on your machine.

On your PC and in the operating system

This is where agentic AI gets personal. Microsoft is adding agent support to Windows 11 itself. According to Microsoft, the Experimental agentic features setting enables an agent workspace, "a separate, contained space in Windows where you can grant agents access to your apps and files so they can complete tasks for you in the background while you continue to use your device." Microsoft says the setting is off by default and can only be turned on by an administrator. Our guide to Windows 11 agentic AI and how to turn it off shows where it is.

Beyond Windows itself, desktop assistants, coding tools, browser extensions and self-hosted agent projects can all act on a PC. Developer platforms offer agent tools too: Anthropic’s computer use tool, for example, gives Claude "screenshot, mouse, and keyboard control of a desktop environment." For a tour of the agents you are most likely to meet on your own machine, see What Is an AI Agent on My Computer?

Why agentic AI matters now

Agentic AI moves AI from advice to action. That is a real change for anyone who uses a computer for work:

Less busywork. Repetitive multi-step tasks, such as gathering information, filling in forms or tidying files, are exactly what agents are built for.
New questions about access. An AI that acts needs permission to act. Deciding what it may touch becomes part of everyday computer use.
More software doing things in the background. Agents can keep working while you do something else, which is useful, and also means it’s worth knowing what is running.

The trade-offs: what to watch with agentic AI

Agentic AI is useful, and the people who build it are open about where care is needed.

Too much access. The OWASP Top 10 for LLM Applications lists Excessive Agency as a risk, describing it as "the vulnerability that enables damaging actions to be performed in response to unexpected, ambiguous or manipulated outputs from an LLM." In plain terms: an agent with more permissions than it needs can do more damage when it gets something wrong.
Hidden instructions. Agents read web pages and documents, and those can contain instructions meant to steer them. This is often called prompt injection, and it’s one reason vendors recommend keeping agents away from sensitive data they don’t need.
Less transparency. IBM notes that "total transparency in agentic AI is difficult to achieve because of the complex nature of how models work." You may see the result without seeing every step.
Mistakes at speed. An agent can make many changes quickly. A human check before anything important goes out is still good practice.

None of this means avoiding agentic AI. It means giving agents only the access they need, keeping a person in charge of important decisions, and knowing which agents are active.

What agentic AI means for your Windows PC

For most people, agentic AI stops being abstract when it starts acting on their own computer. A few practical habits help:

Know what’s running. Our guide on how to tell if an AI agent is running on your Windows PC covers Task Manager, startup apps, extensions and settings.
Know how to stop one. Our step-by-step guide on how to stop an AI agent on Windows 11 walks through stopping a task, ending a process and removing access.
Set rules for your team. If you run a small office, our guide to AI agent policy for small business covers what to include, and our AI acceptable use policy template covers AI tools in general.

How PERCARIS helps

Agentic AI is arriving on everyday computers, and it helps to see what’s active on yours. PERCARIS surfaces recognized AI-agent activity on your Windows computer and gives you a Stop control for agents you did not authorize. PERCARIS recognizes known AI tools. It won’t flag every AI agent.

You decide whether to press Stop. PERCARIS works alongside your existing security tools, and each Windows PC is managed on its own. You can read more on how it works.

Plans cover a single PC, a few PCs or a small business. For 26 or more PCs, contact support@percaris.com. See plans.

FAQ

What is agentic AI in simple terms?

It is AI that works toward a goal by planning steps and taking actions with tools, such as browsing, editing files or using apps, instead of only answering a question.

What is the difference between agentic AI and AI agents?

An AI agent is one piece of software that acts toward a goal. Agentic AI is the broader approach of building systems around agents. In everyday use, the terms overlap.

Is ChatGPT or Copilot agentic AI?

They can be. Chat assistants answer questions by default, and some offer modes or features that let them take actions. On Windows 11, Microsoft says Copilot Actions, in preview for Windows Insiders, uses the agent workspace that the Experimental agentic features setting enables.

What are some examples of agentic AI?

Assistants that browse and fill in forms for you, coding tools that edit files and run commands, business agents that handle support tickets, and Windows 11's agent workspace features.

Is agentic AI safe to use?

It can be used safely with care. Give agents only the access they need, review important actions, and know which agents are active on your PC. Our guide on what an AI agent on your computer can access explains more.

Sources

Checked against each source on October 31, 2026. Definitions and product features change often.

— The PERCARIS Team