The short definition
An AI agent is an AI system that can work toward a goal on its own: it reads information, decides what to do next, uses tools like your email or CRM, and checks its work along the way.
A regular automation follows a fixed recipe. An agent can handle the messy cases a recipe cannot, like an email that asks two questions at once or an invoice in an unfamiliar format.
How an agent works
- It receives a goal, such as “follow up with every lead from this week”.
- It gathers what it needs: the lead list, past emails, your calendar.
- It takes action using the tools it has been given permission to use.
- It reports back, and asks a person when it is unsure or when you have asked it to.
What agents are good at
- Work that repeats every day but needs some judgment.
- Tasks that move information between several tools.
- Reading and responding to emails, documents and forms.
- Research and summarizing large amounts of information.
What agents are not good at
- Decisions with high stakes and no clear rules, unless a person signs off.
- Work that changes completely every time.
- Anything where you cannot give the agent access to the information it needs.
Real examples
- A sales agent that researches each new lead and drafts a personal first email.
- An operations agent that reads incoming invoices and enters them into accounting software.
- A support agent that answers common customer questions and hands the rest to your team with a summary.
Related: custom AI agents and AI agents vs. chatbots.