What is AI Agent?

An AI agent goes beyond answering a single question. It is given a goal, such as booking an appointment or qualifying a lead, and it decides which steps to take, calls tools like a calendar, CRM, or email system, checks the results, and continues until the task is done or it needs help from a person. Most AI agents are built on a large language model combined with access to specific tools and rules.

For a small business, agents are useful for multi-step tasks that follow a recognizable pattern but vary in the details. An AI receptionist that answers a call, asks follow-up questions, checks availability, and books a job is a practical example of an agent at work.

Agents can make mistakes, so well-designed systems limit what an agent is allowed to do, log its actions, and require human approval for sensitive steps such as issuing refunds or quoting prices. The most reliable business uses keep agents focused on narrow, well-defined jobs rather than open-ended autonomy.