Definition
An AI agent is software that uses a large language model to pursue a goal over several steps: it reads the situation, plans, calls tools such as search, databases, email or company systems, checks the result and decides what to do next. A chatbot answers one question. An AI agent completes a task, for example reconciling a set of invoices or preparing a customer renewal, with a degree of autonomy defined by its instructions and permissions.
In companies, AI agents show up first in support (resolving tickets end to end), finance (matching, categorising and chasing payments), sales operations (researching accounts, updating the CRM) and software development (coding agents that write, test and open pull requests). An AI agent is given tools, a system prompt, guardrails and a scope. The safest deployments start with a human approving each action, then widen autonomy as evaluation shows the agent is reliable.
In 2026 AI agents have moved from demos into production, helped by better reasoning models, standard tool interfaces such as the Model Context Protocol and more mature evaluation. Reliability over long tasks remains the hard part. The misconception is that an AI agent is an employee replacement you switch on. It is a process you design, with clear inputs, permissions, checkpoints and metrics.
In practice
In the companies I run, an AI agent reads incoming supplier invoices, matches them to purchase orders, flags mismatches and drafts the approval request. People handle the exceptions and the relationships, not the data entry.
Why it matters
AI agents are where AI stops being a writing aid and becomes labour. The CEOs who map their repeatable processes now will decide which ones to hand to agents on their own terms.
Frequently asked questions
- What is the difference between an AI agent and a chatbot?
- A chatbot responds to messages one at a time and stops. An AI agent works toward a goal across multiple steps, using tools and checking results along the way. The agent can look things up, take actions in other systems and decide when the task is done.
- Are AI agents safe to use in my business?
- They can be, if you scope them properly. Give an agent only the permissions it needs, log every action, require human approval for irreversible steps such as payments or deletions, and measure its accuracy on real cases before increasing autonomy. Treat it like onboarding a new hire with limited access.