AI Agent

An AI agent is software, built on a language model, that does more than write a paragraph when you ask for one. You give it a goal and a boundary. It reads the notes and records it is allowed to see, it calls the tools that already hold the work, and it comes back with a draft, a sorted queue, or a summary someone can check. The same shape can sit behind a customer question, a morning brief, a follow-up note, or a weekly report, as long as the goal and the allowed tools are named before it starts.

Teams usually meet agents in a handful of repeating roles. One watches new inquiries and prepares the reply a person will send. Another reads a stack of support messages, answers the ones that have a clear source, and sets the rest aside. A third gathers what you already know about an account and leaves a short brief on the desk. Underneath those roles you will usually find a model that can reason in steps, a way to look up what the company has already written, and a connection to the systems where the files live.

An agent earns its place when the work repeats, the source material is clear, and a named person reviews the result. A judgment call, an exception to a written policy, or a step that cannot be taken back should still land with someone on the team. Used that way, the software takes the repetitive preparation off the pile so attention can stay on the decisions that commit the business.