An AI agent is a configured AI persona that reads from your knowledge base and answers customer questions in your tone of voice. It is given a name, a role, a set of allowed sources, and a confidence threshold. When it is sure of an answer, it replies. When it is not, it hands the conversation to a human with full context.
Unlike a one-off prompt to a chat tool, an AI agent has memory of the conversation, retrieves from a defined set of approved sources, and follows the rules its operator set. It can do work: tag a ticket, refund an order, look up a delivery status, draft a quote. It is the practical unit of automation in modern customer support and sales.
How it differs from a chatbot
A chatbot follows a decision tree. You write the questions, you write the answers, and the bot maps inputs to outputs. If the customer phrases something slightly differently, the tree breaks. Maintenance is constant. The experience is rigid.
An AI agent reads the same intent in any phrasing, retrieves the relevant snippet of your documentation, and writes a reply. There is no tree to maintain. You update the documentation, and the agent updates with it. The same agent can handle returns, product questions, and lead qualification without separate flows.
When AI agents help
When the volume is high and the answers exist somewhere written down, an AI agent does the boring work fast. Order status, returns policy, shipping windows, sizing, account questions, license keys, how-to. These are the questions a junior agent learns in week one. An AI agent learns them in an hour and answers in a few seconds, in any language your team supports.
It also helps with after-hours coverage. Most consumer questions arrive evenings and weekends. An AI agent is on shift then too.
When they should escalate
A good AI agent knows what it does not know. If the answer is not in your sources, if the customer is upset, if the request touches money or contracts beyond its allowed actions, the agent stops and hands over. The handover includes the conversation, the agent's draft answer, and a short note on why it escalated. The human picks up where the agent left off.
In Keloa
In Keloa, an AI agent reads from your knowledge base, retrieves with RAG, and replies with citations so the answer is checkable. We expose a confidence threshold, so you decide when the agent answers and when it escalates. See how the AI works, our pricing, and security posture.