What is agentic AI?

Most AI people have used responds: you ask, it answers, you decide what to do. Agentic AI acts. It's given a goal, works out the steps, uses your systems to carry them out, and checks its progress, bringing in a person where it matters.

It helps to think in four levels, chosen for each job:

• Copilot: AI suggests, a person decides.
• Assistant: AI carries out a defined workflow, a person instructs.
• Agent: AI plans and carries out the steps itself, within limits set in code. See AI agent.
• Agentic system: several agents sharing the work under one policy, each with its own job and limits.

An example. Orders arriving from a busy trade counter, a portal and email. One agent reads and structures each order, another checks credit and stock, a third deals with exceptions such as substitutions and part deliveries, and a person approves anything outside the agreed rules. Each agent is simple and testable, and together they run a process that spans several teams and systems.

Where it fits

Agentic systems suit complex operations that run across teams and systems, where the work varies case by case and the volume makes it worth automating. They work best built on solid workflows, with agents taking the parts that need judgement.

What it needs

Clear ownership, limits enforced in code rather than in the prompt, approval before anything that commits money, stock or a promise, a full record of what each agent did and why, and someone who can stop it at once. That's the difference between a demonstration and a system you can run your business on.

The four levels in full, and how to choose between them: Four levels of AI: copilot, assistant, agent, agentic system, from Enceladus AI, the PureNet Group's AI strategy company.