What Is Agentic AI? A Practical Introduction

Most people first use AI by typing a prompt and receiving a single answer. Agentic AI goes further: it pursues a defined goal through multiple steps and, where configured, uses tools or connected applications along the way.

From prompts to workflows

A simple prompt might ask, "Summarize this document." An agentic workflow might be asked to gather information from several sources, compare it, draft a report, and save it to a shared folder, deciding the intermediate steps itself.

The building blocks

Agentic workflows are usually described in terms of:

• Goals: what the workflow should achieve.
• Tools: the applications or data it may use.
• Constraints: limits on what it is allowed to do.
• Steps: how the task is broken down and executed.

Where it can help

Typical business uses include research and reporting, organizing incoming information, preparing drafts for review, and coordinating routine multi-step tasks.

Why safeguards matter

Because agents can take actions, mistakes can have real effects. Good workflows include clear permissions, human review and approval at important points, and testing before they are relied upon.

Getting started

Begin with a small, well-understood task, define exactly what the agent may and may not do, and review results carefully before expanding its role.

Our Agentic AI Training covers defining goals, tools, and constraints, workflow planning, connected applications, human review, and practical workflow projects.