Glossary
What Is an AI Agent?
An AI agent is a system that reasons through a task in multiple steps — gathering information, making decisions, and taking action — rather than simply generating one reply to one input. Where a basic chatbot matches a question to an answer, an agent can plan a sequence of steps to get to an outcome.
The word "agent" comes from the idea of an autonomous actor: something that can decide what to do next based on the situation, not just follow a fixed script. In practice, an AI agent built on a language model reads a request, decides what information it needs, retrieves or checks that information, and then decides on a response or action — sometimes repeating that loop several times before replying.
This is different from a traditional rule-based chatbot, which matches an input to one of a fixed set of pre-written responses. It is also different from a plain question-answering chatbot, which retrieves relevant information and answers once, without necessarily reasoning across multiple steps.
In a customer-facing context, an AI agent might check an order status, compare it against a return policy, and then explain the outcome to the customer — three steps of reasoning behind what looks like a single reply. Basium’s agent platform is built around this kind of multi-step reasoning, grounded in the business’s own data.