What is an AI agent?
An AI agent is software that takes a goal, decides the steps and uses tools to complete them, checking in with a person when required. Anthropic describes agents as systems where a language model directs its own process and tool use. OpenAI's guide names three core parts: the model, the tools it can use, and the instructions and guardrails that define how it behaves.
Why it matters to a revenue leader
Agents move AI from drafting to doing: updating records, researching accounts, preparing renewal packages or sending follow-ups. That shifts the management question from output quality to accountability for what the agent did. A revenue leader should know which agents touch customer data or customers, what each can do without approval and how mistakes get caught. OpenAI's guidance is that sensitive, irreversible or high-stakes actions should trigger human oversight until confidence in the agent grows.
Example
A fire protection company sets up an agent to prepare renewal packages. For each agreement coming due, it pulls the service history, open deficiencies and current pricing from the CRM and the field service system, drafts a renewal proposal and routes it to the account owner. The seller reviews, edits and sends it, and the agent never contacts a customer on its own.
"Which AI agents can act on our customer data today, and what can each one do without a person approving it?"
Sources
- Building Effective Agents | Anthropic checked 9 Oct 2026
- A Practical Guide to Building AI Agents | OpenAI checked 9 Oct 2026