AI Agents Explained: What They Are and Where They Fit in Business

A chatbot answers your question. An AI agent goes further: it can plan steps, use tools such as your calendar, email or database, and carry out tasks with limited supervision. Agents are one of the most discussed AI developments of the past year.

How agents work

An agent is usually built around a language model that can decide what to do next, call external tools, look at the result and continue until the goal is met. Standards such as the Model Context Protocol aim to make connecting models to tools and data more consistent.

Where they can help

• Sorting and drafting replies to routine customer emails for human approval.
• Researching suppliers or competitors and summarising findings.
• Preparing reports by pulling numbers from several systems.
• Scheduling and reminders across calendars and messaging tools.
• Assisting developers with code changes, tests and documentation.

Where to be careful

• Agents can make mistakes and act confidently on wrong assumptions.
• Giving broad access to email, files or payments creates security and privacy risk.
• Actions with real consequences, such as refunds or contracts, should need human approval.

Start small

Pick a low-risk workflow, give the agent minimum permissions, log everything it does and review the results. Expand only when it proves reliable.

Agents are promising, but the winning approach is still humans in charge, with automation handling the routine parts.