Agents & automation

What is an AI agent?

Agents move AI from advice to action, like processing a refund end to end. That power raises the stakes, so they need clear limits and human oversight on consequential steps.

In plain terms

An AI agent is software that plans and takes actions toward a goal, calling tools and other systems, rather than only answering a single question.

An AI agent is software that can take actions to finish a task, not only answer a question. It can look up an order, draft the reply, and update the ticket. The model decides the next step. Tools do the actual work in your other systems.

The value is real and so is the blast radius. A chatbot that writes a wrong sentence is embarrassing. An agent that emails the wrong customer or changes a payment is an incident. Give it a narrow job, a short list of tools, and a person on any step you cannot undo. Start with one task you can watch end to end.

Think of it this way: A chatbot is a knowledgeable receptionist who answers questions. An AI agent is a contractor who takes the brief, makes the calls, fills the forms, and reports back with the completed job.

A logistics firm deploys an AI agent that monitors inbound customer emails, classifies the issue, retrieves order status from the warehouse system, and drafts a resolution, all without a human on standard cases.

A facilities team gets after-hours maintenance tickets. An agent reads the ticket, checks the building system for an open alarm, and drafts the work order. It does not dispatch a contractor. A coordinator confirms the order during business hours. The overnight sorting still saves the morning.

When a task has multiple distinct steps, requires external systems, and the steps are defined well enough that errors carry limited risk or can be caught before they propagate. For tasks that touch high-stakes irreversible actions, when the failure modes are not well understood, or when the workflow varies too much for the agent to navigate reliably.

RaftLabs builds agents that do one defined job, with a person still on the steps that cannot be undone. You see the workflow on your own data before it runs on its own. The related work on our side is AI agent development.

This sits with the other agents & automation terms on the glossary. When software stops only answering and starts carrying out the work. Worth reading next: Agentic AI, Multi-agent System, and Orchestration. For the full walkthrough, read What is an AI agent? The full guide.

Common questions

A chatbot talks. An agent talks and then acts in other systems, under rules you set. If the software cannot create, send, or update anything, you have a chatbot, whatever the vendor calls it. Ask which systems it can change and which actions need a person.
One internal task with a clear done, a small tool list, and a review before anything leaves the company. Sorting and drafting beat sending and paying. Run it beside the current process until a week of cases matches what a careful person would have done.

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