Introduction: A chatbot answers a question. An AI agent is given a goal, such as “prepare this lead,” and then takes a few steps: look up the company, draft a note, and open a task. It should stop when a step needs a person.
1. What the agent is allowed to touch
- Read from the systems you name, such as the CRM, inbox, or knowledge base.
- Write only where you allow it, such as a draft folder or an internal ticket.
- Leave a log of each step so the team can see what happened.
2. A practical first job
Research a new inquiry, draft a reply, and file the request for the right person. The agent does the gathering. A teammate sends the reply. That split is easier to trust than an agent that emails customers on its own.
3. Limits that keep it useful
Set a maximum number of steps. If the agent cannot find the record, it should ask instead of guessing. Payments, deletions, and messages to customers stay behind an approval.
An agent is ready for daily work when the team can explain every action it took.
4. Conclusion
EliteSigma designs agents around one job, the tools that job needs, and a clear stop for human review.
See our Agentic AI service.
