An AI agent is software that can read information, decide on a next step and take an action in another tool, such as replying to a lead, updating a CRM record or creating a task. The difference from a simple automation is that the agent can handle messy, unstructured input like an email or a chat message.
Where agents work well today
- Replying to new inquiries and asking qualifying questions
- Researching a company or person before a sales call
- Sorting incoming email and routing it to the right person
- Turning meeting notes into tasks and CRM updates
These jobs have a clear goal, a limited set of tools, and a result that is easy to check.
Where a human should stay in the loop
Anything with legal, medical or financial consequences, refunds above a set amount, and conversations with unhappy customers. A good agent knows when to stop and hand over, and every action it takes should be logged.
How to choose a first use case
- Pick work that happens at least weekly
- Make sure you can describe what a good result looks like
- Start with read-only or low-risk actions, then expand
- Measure the time spent before you automate, so you can compare after
Starting small makes it easy to see the value, and gives your team time to trust the system before it does more.