AI agents for business – what they can do and how to deploy them

An AI agent, such as the former ChatGPT agent or the current ChatGPT Work, is AI software that plans a task itself and carries it out in tools you give it access to: a browser, email, spreadsheets or a CRM. For a business, it pays off on repetitive, well-defined tasks whose result is easy to check, not where a mistake is expensive.

In brief:

• An AI agent doesn’t just answer; it plans the steps and uses tools such as a browser, files, email or business apps.
• OpenAI no longer offers ChatGPT agent; ChatGPT Work has taken over its role in paid plans except Go.
• Claude, Google Gemini and the automation tools n8n, Make and Zapier offer similar agents.
• Start with one repetitive process, minimal permissions and human approval for every important action.

What an AI agent is and how it differs from a chatbot

A regular AI assistant (chatbot) answers and waits. An AI agent gets a goal, for example “prepare an overview of competitor prices”, and decides the steps itself: it opens websites, collects data, writes it into a spreadsheet and checks the result. It works in a loop until the job is done or it needs to ask you.

Anthropic’s guide to building agents separates a workflow, where the model follows a predefined, programmed path, from an agent that directs the process itself. An agent is more flexible, but slower, more expensive and less predictable. The practical rule: if you can describe the steps in advance, classic automation is enough (we compare the tools in n8n vs Zapier vs Make).

ChatGPT agent: what happened to it and what ChatGPT Work does

OpenAI launched ChatGPT agent in July 2025 for Plus, Pro and Team, later adding Enterprise and Edu. It took over the functions of the Operator tool: in a virtual browser it clicked, filled in forms and assembled deliverables. You started it in agent mode or by typing `/agent`.

As of October 2026, OpenAI’s help center says ChatGPT agent is no longer available and points to ChatGPT Work, an agent for longer, multi-step tasks launched on 9 July 2026. According to OpenAI, Work:

• works across connected apps (plugins) and produces finished documents, spreadsheets, presentations or reports;
• runs tasks on a schedule or on an event, such as a new Gmail message or a Slack post;
• can use local files in the desktop app, with your permission;
• lets you follow its progress, change direction and approve important actions.

Work is included in paid plans except Free and Go, from Plus ($20 a month as of October 2026) to Business and Enterprise, each with its own usage allowance. Plans are covered in our ChatGPT guide.

Other AI agents for business

• Claude: as of October 2026, Anthropic is merging its agentic Cowork mode and chat into one app (Pro and Max first). It works only in the folders and tools you choose, runs scheduled tasks and asks before deleting anything. More in Claude Code and Cowork.
• Google Gemini Spark: works in the background with Gmail, Calendar or Drive and checks with you before major actions. Google lists it for Google AI Pro and Ultra in selected countries; check availability where you are.
• n8n, Make and Zapier: an AI agent as one step of an otherwise fixed automation.
• A custom agent: built with the Claude Agent SDK, the OpenAI Agents SDK or the API, for processes no off-the-shelf tool covers.

Agents most often reach business systems through an MCP server.

What AI agents can do: practical examples

These examples are illustrative, not our clients.

Coffee e-shop: a scheduled task with the prompt `Every Monday, check the prices of these 15 products on the three listed online stores, write them into a spreadsheet next to our prices and flag differences above 10%. Do not order or change anything.` A finished table instead of two hours of clicking.

Accounting firm: the agent files invoices from email into client folders, lists missing documents and drafts reminders for the accountant to send.

Construction company: the agent pulls deadlines, required documents and technical conditions from tender documents into a checklist. A person decides whether to bid.

What they share: the task repeats, the result is quick to check and the agent sends or pays nothing without approval.

Risks of AI agents

• Prompt injection: malicious text on a website or in an email steers the agent into an unintended action, such as sending a password reset code to a scammer. OpenAI admits its safeguards don’t eliminate all risks.
• Excessive permissions: OWASP lists excessive agency among the top risks: unneeded functions, rights and unreviewed actions.
• Errors and hallucinations: in a multi-step task, errors compound, and an agent can report work as done when it isn’t.
• Data and GDPR: an agent in your inbox sees customers’ personal data; check where it is processed (more on GDPR and personal data protection).
• Costs and lock-in: agents use up limits faster than chat, and processes tied to one vendor are hard to move.
• EU AI Act: in the EU, the duty to ensure AI literacy of staff has applied since 2 February 2025 and transparency rules since August 2026: customers must know they are dealing with AI.

How to deploy an AI agent in 6 steps

1. 1Pick one process that repeats at least weekly, has a clear input and output, and where a mistake doesn’t cost much.
2. 2Describe it as you would to a new colleague: input, steps, the finished result and what the agent must not do.
3. 3Grant minimal permissions: read-only at first, a separate account and only the folders it needs.
4. 4Set up approvals: sending an email, a payment, deleting or changing CRM data always goes through a person.
5. 5Run a 2–4 week pilot: measure time saved, the share of outputs needing fixes and costs.
6. 6Decide by the numbers: extend it, replace it with simpler automation or stop.

Hold off if the process takes ten minutes a month, if the steps can be described exactly (cheaper automation will do) or if a mistake has legal or financial impact and nobody checks the output.

When to bring in a specialist

You can try an agent in ChatGPT or Claude in an afternoon. A specialist pays off when the agent should work with your online store, CRM, accounting or shared data, and permissions, security and measuring the return need solving. We use AI agents in our agency every day and deploy them for clients through our AI solutions for business, always asking whether a simpler solution would do. Describe your process via our contact form.