Chatbots answer. Agents act. Most SMEs should start with answers — and only add actions when the workflow is clear.
The useful distinction
A chatbot (including a RAG assistant over your documents) is built to answer. It reduces time spent searching and repeating yourself. When it is unsure, it should say so and hand off to a human.
An AI agent is built to do. It might create a CRM note, draft and send a message, book a slot, or trigger a workflow. That means permissions, logging, and a plan for when it is wrong — because it will be wrong sometimes.
Why SMEs should not start with an agent
Agents fail in boring ways: they email the wrong person, duplicate a ticket, or loop. Those failures are expensive if you have no engineer watching a dashboard. Chatbots fail more safely: a bad answer is still just text until a human acts.
If your team still has no single place where “the truth” lives (docs, SKUs, policies), an agent will improvise. Fix the source of answers first.
When an agent is the right next step
You have a chatbot or form that already classifies the request correctly, and a human still performs the same three clicks every time. Those clicks are the agent. Scope them as a checklist with an approval step until you trust it.
Computer vision plus alerting (for example flagging a safety violation) is closer to an agent than a chatbot: it is a detection system with a notification, not a conversation.
How we help you choose
On a 30-minute call we will tell you which one you need. Many AEVANTIQ projects are assistants and summarizers. Some are detection systems. Very few should be “autonomous employees” on day one. Read more on our AI solutions page, or bring one workflow to a consultation.