What Is an AI Agent?

Webisoft AI team Updated 2 min read

An AI agent is an AI system that can plan and execute a multi-step task autonomously, deciding what steps are needed, using tools (search, files, email, calendars, code, business applications) to perform them, checking its results, and adjusting until the goal is met or it needs human input.

The distinction from a chatbot is the loop. A standard assistant built on a large language model responds to one prompt with one answer. An agent takes a goal (“find duplicate invoices in this folder and draft a summary for finance”), breaks it into steps, acts, observes what happened, and continues, often across many tool calls, without a human prompting each step.

Why it matters at work

Agents move AI from “helps me write faster” to “does the task while I do something else.” Early workplace agents handle bounded, repetitive multi-step work: triaging and drafting email responses, researching and compiling briefs, moving data between systems, monitoring for events and acting on them, filing meeting action items into task tools.

The management implication is new: an agent has permissions, not just capabilities. Rolling one out responsibly means deciding what it may read, what it may change, what it must ask a human before doing (sending external email, spending money, deleting anything), and how its actions are logged. The practical rule most teams converge on: agents act autonomously on reversible, internal steps and require human approval for anything external or irreversible.

A work example

A recruiting coordinator uses an agent to schedule interviews. Given a candidate and a panel, the agent checks calendars, proposes times, emails the candidate options, books the confirmed slot, reserves a room, and posts the schedule to the hiring channel, asking the coordinator only when there’s a conflict it can’t resolve. What used to take forty minutes of email ping-pong becomes a review-and-approve moment.

FAQ

How is an AI agent different from a chatbot? A chatbot produces one response per message. An AI agent takes a goal and works through the steps itself, choosing actions, using tools, and checking results until the task is done or a human needs to weigh in.

Do AI agents work without human supervision? They can, but most teams deliberately keep a human in the loop. Agents make mistakes and errors compound across steps, so best practice is to have people approve irreversible or high-stakes actions.