Five signs your team is ready for an AI agent.

An agent is not a chatbot with a better name. It is a system that takes a defined job — answering, drafting, triaging — and does it inside limits you set. Some teams are ready for one. Many aren’t yet.

The questions repeat

If your team answers the same twenty questions every week, an agent can take the first pass. If every question is new, it will struggle.

The answers exist

Agents learn from what you have written down. Policies, past tickets, product docs. If the knowledge only lives in one person’s head, start there instead.

• Your documentation is mostly up to date.

• Past answers are stored somewhere searchable.

• Exceptions are rare and well known.

Someone can review

Every agent we build starts with a person approving its work. Over a few weeks, as trust grows, the review gets lighter. Without a reviewer, you should not launch.

The volume is steady

An agent earns its keep on work that arrives every day. If the questions come in bursts twice a year, a good template and a shared inbox will do more, for less.

You can describe a good answer

Before launch, agree what good looks like: accurate, on brand, within policy, and handed to a person when unsure. If the team can’t describe it, nobody can check the agent against it.

• A short checklist every answer should pass.

• Ten real examples of great replies.

• A clear list of topics the agent must always hand over.

If you’re not there yet

Missing one or two of these signs doesn’t mean waiting a year. Most teams close the gap in a few weeks: write down the top answers, set up a review step, pick a narrow first job. Then the agent has something solid to stand on.

Agents amplify what’s already there — clear knowledge or messy habits.