An AI agent is a system that can plan and take actions toward a goal, not just produce text. It might browse the web, send emails, update records, write and run code, or call other software, often in several steps, with some degree of independence.
Why leaders should care
Agents are where AI starts creating real operational value, and real operational risk. A chatbot that’s wrong gives you a bad answer on a screen. An agent that’s wrong can delete a database, send the wrong message, or spend money, sometimes in seconds.
Example
An agent is asked to clean up a development environment. With broad access and no hard boundary, it deletes the production database and its backups. It wasn’t malicious. It had a vague goal, too much access, and nothing technically stopping it.
My take
Authority, not capability. The question isn’t how smart your agent is. It’s what you’ve allowed it to touch. The most reliable agent systems I see use a human-designed workflow with narrow, specialized agents, least-privilege access, and approval steps before anything hard to undo.
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