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Zarif Automates

Agentic AI

Agentic AI is AI that takes a goal, plans the steps, uses tools and checks its own progress, instead of answering one prompt and stopping.

Agentic AI is AI that works toward a goal on its own, one step at a time, instead of giving one answer and stopping.

Example

Ask a chatbot "What did customers complain about most last month?" and it can only work with what you paste in.

Give an agent the same question and access to your help desk. It can pull last month's tickets, group them by topic, notice that one group is mostly refund requests, look closer at those, and come back with a short report. Nobody told it each step. It worked them out from the goal.

How it works

The agent runs in a loop. It gets a goal, picks a first step, does it, looks at the result, and picks the next step. It keeps going until the goal is met or it decides it can't go further.

Four parts make that loop work:

  • A model that decides. Usually a large language model.
  • Tools. APIs, databases and web browsers that let it do things outside the chat.
  • Memory. A record of what it already did, so step five knows about step two.
  • A plan. The goal broken into smaller tasks.

More freedom also means more ways to go wrong. An agent that can send an email or change a record can send the wrong one, so it's worth having a person approve anything that can't be undone.

Where you'll see it

Research that pulls from several sources, data processing with many steps, customer support that can look up and change an order, and workflows built in tools like n8n and LangChain.

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