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How to Use AI at Work: A Practical Guide

  • AI at work
  • Productivity

If your employer allows it, you can use AI at work to draft, summarise, sort and explain, and save real time on those jobs. You stay responsible for the result. The tool writes a first version quickly. You decide whether it is true, safe to share and good enough to send.

This guide shows you how to use AI at work in a way that helps and does not cause problems. It assumes you have never been trained and that you are worried about making a mistake. Both are normal.

What these tools are and are not

An AI writing tool is a program that has learned patterns from a very large amount of text. When you type a request, it produces the text that most likely follows, one piece at a time. It does this fast and in fluent language.

That description explains almost everything you need to know:

  • It is good at form. Emails, lists, summaries, outlines, rewrites, plain-language versions of difficult text.
  • It is not a database of facts. It can state something false in the same calm voice it uses for something true.
  • It does not know your company. It does not know your customers, your prices or what your manager said yesterday, unless you tell it in the request.
  • It does not understand consequences. It will happily write a message that is polite and wrong.

Think of it as a fast assistant who has read a lot, has never worked at your company and never says "I am not sure". You would give that person clear instructions, and you would read their work before it left your desk.

Some tools can also read images, tables and files, and some can remember earlier messages in a conversation. The names and features change often, so do not memorise them. The habits in this guide work for any of them.

Write a prompt that gets a usable answer

A prompt is just the request you type. Most weak answers come from weak requests. Give the tool what a new coworker would need.

A good prompt has five parts:

  1. The job. What do you want made? "Write a reply to a customer." "Summarise this in five bullets."
  2. The reader. Who will read it, and what do they already know?
  3. The facts. The details it must use. It cannot guess these.
  4. The shape. Length, tone, format. "Under 120 words, friendly, no jargon."
  5. The limits. What to avoid. "Do not promise a refund date."

Compare two requests.

Weak: "Write an email about the delay."

Better: "Write an email to a customer, Mrs Haidari, whose order of two office chairs is five days late because the supplier missed a shipment. The new delivery day is Thursday. Apologise once, offer free assembly, keep it under 120 words, friendly and plain. Do not promise anything else."

The second request takes forty seconds longer to write and saves ten minutes of editing.

Two more habits help. First, if the first answer is not right, say what to change. "Shorter. Remove the second paragraph. Make the tone less formal." Second, ask it to ask you questions: "Before you write, ask me three questions you need answered." This often fixes missing facts.

For a longer walk-through with more examples, read how to write a good AI prompt at work.

Check the answer before you use it

This is the most important section. Never send, publish or act on AI text without reading it as if a stranger wrote it.

Check four things:

  • Facts. Names, numbers, dates, places and quotes. If it matters, confirm each one from a source you trust, such as your own records. If the tool names a source, find that source yourself. Tools can invent documents and quotes that look real.
  • Fit. Does it say what you meant? It may add a promise you did not make or leave out the key point.
  • Tone. Would you say this to this person?
  • Gaps. What did it leave out that the reader needs?

A useful trick: ask the tool to list the claims in its own answer that you should verify. It will not catch everything, but it helps you aim your checking.

Say you ask for a summary of a supplier contract and the tool says, "Payment is due in 30 days." Open the contract and find that line. If it is there, good. If you cannot find it, the summary is wrong, and you just avoided a mistake. The method is covered in more detail in how to check AI answers for mistakes.

Draft emails without sounding like a robot

AI is useful for emails because email is mostly structure: a greeting, a point, a request, a closing. The risk is a message that sounds generic. Your coworkers and customers notice that.

How to keep your voice:

  • Give it a sample of your own writing and ask it to match the style.
  • Tell it the relationship: "I have worked with this person for two years and we are friendly."
  • Cut the filler it adds, such as "I hope this email finds you well" and "Please do not hesitate to contact me".
  • Add one real detail only you know, such as "Thanks for staying late on Friday."
  • Read it aloud. If you would not say it, change it.

Short is better. If the tool gives you five paragraphs and you need two sentences, ask for two sentences.

For a full method, see how to use AI to write emails without sounding robotic.

Summarise long documents safely

Summaries are a strong use. A forty-page report becomes ten lines you can scan. But summaries are also where errors hide, because you are reading the short version instead of the original.

A safe routine:

  1. Check that you are allowed to put this document into the tool at all (see "Rules your employer may have" below).
  2. Say what you need. "Summarise for a store manager who must decide whether to change opening hours. List decisions needed, deadlines and costs."
  3. Ask for page or section references so you can jump to the source.
  4. Spot check. Pick two or three points that matter and read them in the original.
  5. Read the parts that drive your decision yourself. A summary is a map, not the road.

If the document is long, the tool may handle only part of it and give you a confident summary of that part. Ask it to say what portion it used.

More detail in how to use AI to summarise a long document.

When not to use AI

Knowing when to leave it out is part of using it well. Do not use it, or use it only with approval, when:

  • The information is private. Customer details, employee records, health data, passwords, unpublished financial figures and anything under a confidentiality agreement. Many tools keep what you type. Your employer's policy decides what is allowed.
  • The decision is serious. Hiring, firing, discipline, medical advice, legal advice and safety procedures need people who are accountable. For rules, go to your employer's procedure and the body that sets the rules in your field.
  • The answer must be exact. A figure on an invoice, a quantity on a purchase order, a dose, a legal clause. Use the source.
  • The message is personal. An apology after a serious mistake, a condolence note, a hard conversation. People can tell, and it matters.
  • You could not check the answer. If you do not know the topic well enough to see an error, you cannot catch one.

A simple test: if this text turned out to be wrong, who would be harmed, and could I explain how I produced it? If the answer worries you, do it by hand. The longer list is in when not to use AI at work.

Automate repetitive tasks

Many jobs contain steps you repeat every week: renaming files, copying numbers between sheets, sending the same reminder, sorting messages into groups. AI tools can help you find these steps and sometimes do them.

Start by listing your week. Mark anything you do more than twice that follows the same pattern. For each, ask:

  • Can the rule be written in one sentence? ("Every Friday, send the list of open orders to the warehouse.")
  • Is the input always in the same form?
  • What happens if it goes wrong, and would I notice?

Good first candidates are low-risk and easy to check: formatting a list, turning meeting notes into a task list, writing the same type of reply with different names. Poor candidates involve money, personal data or decisions.

Ask the tool to help you write the steps, or to explain a spreadsheet formula, and test it on five examples before trusting it with fifty. Tell your manager what you automated. Hidden automation is a risk when you are away. See how to automate repetitive tasks at work for a step-by-step example.

Rules your employer may have

Companies differ. Some allow AI tools freely, some allow only a tool they have approved, and some ban them. Rules can also depend on your country and your industry.

Before you use any tool for work:

  • Ask or read the policy. If you cannot find one, ask your manager or your IT or compliance contact. A simple message works: "Are we allowed to use AI writing tools for drafting? Are there things we must not put into them?"
  • Use the approved tool, on a work account if one is provided. Do not paste work material into a personal account on your own.
  • Know what counts as confidential. If in doubt, leave it out or make it anonymous.
  • Say when you used it if your workplace asks for that. Some require it for client work.
  • Remember you are responsible. "The tool wrote it" is not a defence for an error.

Rules on data protection and copyright come from law, and the details differ between places. Your employer's policy and the official body that regulates your sector are the right sources, not this guide.

Common mistakes

  • Pasting private information into a tool without permission.
  • Sending the first answer without reading it.
  • Asking a vague question and blaming the tool for a vague answer.
  • Trusting numbers, quotes and sources without checking.
  • Using it for work you could not do yourself, so you cannot spot errors.
  • Using it for everything, until your writing no longer sounds like you.

A first week plan

Day one: read your employer's policy or ask for it. Day two: pick one low-risk task, such as turning rough notes into a tidy list, and try it. Day three: write a better prompt using the five parts above. Day four: check one answer carefully against a source and note what was wrong. Day five: decide which tasks the tool helps with and which it does not, and write them down for yourself.

Questions people ask

Will using AI at work get me in trouble?

Not if your employer allows it and you follow their rules. Trouble comes from sharing confidential material, sending unchecked text or hiding that you used it when you were asked to say. Ask first, use approved tools and read everything before it leaves your hands.

Do I need to know how it works to use it well?

No. You need a rough idea: it predicts fluent text and does not know your company or check facts. The rest is habit: clear requests and careful checking.

Can AI replace my job?

That depends on the job and the employer, and nobody can promise an answer. What you can control is your skill. People who know the work and use tools carefully are in a stronger position than people who ignore the tools or trust them blindly.

What if the tool gives a different answer each time?

That is normal. It produces text by chance within patterns. For a task where the result must be the same every time, such as a calculation, use a spreadsheet or the original source. Use the tool for drafts, where variety is fine.

Learn this in five minutes

The first Skill5 AI track explains in five short lessons what these tools are, how they produce text, where they are strong and weak, how context and different kinds of input matter, and where they fit into professional work. Each lesson takes about five minutes and gives you a base for every habit in this guide.

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