How to use ChatGPT at work

AI for business leaders · 7 min read · Updated 2026-05-30

A jargon-free guide for executives and managers: what ChatGPT is, what it is good and bad at, how to write a useful prompt, and how to use it safely with company information.

What ChatGPT actually is

ChatGPT is a chat-based assistant built on a large language model — software trained on huge amounts of text that predicts useful responses to what you type. You hold a conversation with it in plain language: ask a question, paste a document, request a draft, and it replies in seconds. There is nothing to install for the basic version; you use it in a browser or app.

The key mental model for a leader is this: it is a fast, tireless, well-read assistant that is occasionally confidently wrong. Used for the right tasks with a quick human check, it saves real time. Used blindly for facts it cannot verify, it creates risk. The rest of this guide is about staying on the right side of that line.

What it is good and bad at

It is strong at language work: drafting and rewriting emails, summarising long documents and reports, turning rough notes into a clear memo, explaining a technical topic in simple terms, brainstorming options, and translating. It is a genuine productivity tool for anyone who writes, reads or plans for a living.

• Good: first drafts, summaries, rewrites, explanations, structuring ideas, checklists, translation.
• Be careful: hard facts, figures, dates, legal or financial specifics — it can invent plausible-sounding but wrong details ("hallucinations").
• Avoid: treating it as a search engine of record, or as a source of truth without checking.

The simple rule: trust it with words, verify it on facts.

How to write a prompt that works

The quality of what you get back depends almost entirely on how you ask. A vague request gives a vague answer. Four habits cover most of it:

• Give context: say who you are, who it is for, and the goal. "Write a 150-word update for our board explaining why we are delaying the project" beats "write an update."
• Set the format: ask for bullet points, a table, an email, a specific length or tone.
• Give an example: paste a sample of the style or a previous version you liked.
• Iterate: the first answer is a draft. Reply with "shorter," "more formal," "add the cost angle" and it refines.

Treat it like briefing a capable junior colleague who cannot read your mind — the clearer the brief, the better the work.

Using it safely with company information

This is the part leaders must get right. Anything typed into a standard consumer AI tool may be stored and, depending on the settings and plan, used to improve the service. So the discipline is simple:

• Never paste customer personal data, passwords, contracts, unreleased financials or anything covered by confidentiality.
• For sensitive work, use a business or enterprise plan that contractually keeps your data private and out of training, or a tool your IT team has approved.
• Set a short written policy so staff know what is and is not allowed before they start.

Used inside those boundaries, the productivity gain is real and the risk is controlled. The mistake is letting a whole team adopt it informally with no guidance.

Rolling it out across a team

The fastest way to capture value is not a big programme but a few concrete habits. Pick a handful of high-frequency tasks — meeting summaries, customer replies, report drafts, translating supplier emails — and have people use the tool for those first. Share the prompts that work so the whole team benefits from one person's discovery.

Measure it loosely by time saved and quality, not by hype. Within heavy industry the same underlying technology is moving from the office into operations — reading maintenance logs, flagging anomalies, drafting work orders — so the leaders who get comfortable with it now are better placed to judge the bigger operational opportunities later.

Frequently asked questions

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