An AI agent is software that interprets a goal, decides among permitted steps, uses tools or information, and returns or records an outcome. Unlike a fixed automation, it can adapt its path to context. For a small business, that flexibility is useful only when permissions, evidence, approval, and a stop condition are explicit.
A small-business example
A support agent may read a new ticket, identify the customer and product, retrieve the current help article, draft a response, and tag the case. It can send only low-risk answers above a tested confidence threshold; refund requests go to a person.
Agent vs chatbot vs automation
A chatbot mainly conducts a conversation. A workflow automation follows predefined triggers and actions. An agent can select among allowed actions based on context. A product may combine all three, so evaluate behavior rather than the label.
The important boundary
Agency is not accountability. The business remains responsible for access, claims, payments, customer outcomes, and legal obligations. Start with reversible work such as research, drafts, classification, and task creation. Keep financial transfers, employment decisions, contract acceptance, and sensitive promises behind human approval.
How to evaluate an agent
Ask what it reads, what tools it can call, how it authenticates, what it stores, whether actions are logged, how uncertainty is expressed, and how an operator stops or reverses a run. A useful agent completes a bounded workflow more reliably than a human copying between tabs.