What is Agentic AI?

AI systems that pursue a goal by planning steps, using tools and acting, not just answering one prompt.

In plain English

A chatbot replies to a message. An agentic system is given a goal and decides what to do next: it may search, call tools, check its own results and repeat until the job is done. That freedom needs guardrails, such as limits on what it can do and a person approving risky actions.

Example

An agent asked to book a meeting checks calendars, proposes a time, sends the invitation and reports back.

Easy to confuse with

• AI agent: An AI agent is the individual system. Agentic AI is the wider approach of building systems that act toward goals.

Where you will meet it

This idea belongs to the subject area of these practice tests. We do not publish or predict real exam questions.

• AWS AIF-C01 practice tests
• Microsoft PL-900 practice tests
• Microsoft AI-103 practice tests

Related terms

• AI agent: An AI system that pursues a goal by deciding on steps and using tools, not only by answering one question.
• Model Context Protocol (MCP): An open standard for connecting AI applications to tools and data sources.
• Responsible AI: Building and using AI in ways that are fair, safe, private, transparent and accountable.

Written and checked by the Be Ready Education team, last reviewed 2 November 2026. General study information, not professional advice. Providers change names and rules, so confirm details on the official documentation. Not affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions.