AI Agent
An AI agent is a software component, usually built on a large language model, that takes a goal and works toward it by reasoning, calling tools, and acting in a loop. Unlike a chatbot that just replies, an agent can fetch data, update systems, and decide its own next step.
An AI agent combines a model that can reason with a set of tools it is allowed to use — for example a search function, a database query, an email send, or an internal API call. Given a goal, the agent decides which tool to use, runs it, reads the output, and continues until it reaches a result or hits a stopping point.
Agents differ from plain chatbots in one key way: they act. A chatbot answers a question. An agent can look something up, take an action in another system, check the outcome, and try again. That capability is powerful, which is also why agents need clear permissions, audit trails, and limits on what they can touch.
Why it matters
- A single agent automates a defined task; multiple agents can be coordinated for larger workflows.
- The reliability of an agent depends less on the model and more on tight tool definitions, good guardrails, and review on high-stakes steps.
Next Step
Turn the concept into a working system
Tell us the workflow you want to automate. We'll map a bounded pilot and show you the fastest path to production.