Skip to content

AI & ML

AI Agent

An AI system that takes actions toward a goal (calling tools, querying systems and making decisions), rather than only producing text.

An AI agent is a system built around a language model that can do more than answer: it can decide what to do next, call tools or APIs, observe the result, and continue until a goal is met. The model provides the reasoning; the surrounding software provides the actions and the guardrails.

Agents are powerful precisely because they act against real systems, and that is also why they are risky to deploy carelessly. An agent that can send an email, move money or change infrastructure needs the same controls any automated actor does: scoped permissions, an audit trail, human approval on consequential steps, and a rollback path. The engineering around the model matters more than the model.

Related terms

Working out whether you need AI Agent?

Definitions are the easy part. If you are trying to decide whether AI Agent belongs in your system, describe what you are building and a senior engineer will give you a straight answer, including when the answer is that you do not need it.

  1. 01A senior engineer reads it. Not a form queue, and not an account manager.
  2. 02We reply either with questions or with a straight answer that we are not the right fit.
  3. 03If it looks like a fit, a technical call with the person who would actually run the delivery.
  4. 04Then scope, effort and risk in writing, before anyone signs anything.
Or book a free consultationPick a time that suits you. No pitch, no obligation.Prefer email? support@yarqat.com

Two fields required. We reply to real enquiries. No list, no sequence.