What is an AI agent, and how is it different from traditional automation?

An AI agent, a chatbot, and traditional automation do not solve the same problem. The right choice starts with work variability, permitted actions, and required oversight—not the technology label.

Three different operating models

• Traditional automation repeats predefined steps when inputs and rules are stable.
• A chatbot can manage a conversation without necessarily taking action in a business system.
• A bounded AI agent interprets context, uses only approved tools, and hands judgement calls to a person.

When is simpler automation better?

If inputs are structured, rules change rarely, and the expected result is deterministic, a conventional workflow is usually easier to inspect and operate. Consider an agent only when interpreting variable information and choosing among approved actions creates real value.

The minimum control boundary for an agent

• Define the purpose, permitted data, and available tools before deployment.
• Document confidence thresholds, exceptions, and escalation rules.
• Keep high-impact and out-of-policy decisions with an accountable person.
• Monitor output quality, failures, and human overrides.