How to find out whether your workplace permits AI, what a sensible policy usually covers, and how to gently ask for clear guidance if none exists. You will learn to check before you use it, so you are never caught out.
AI at Work
AI in HR: a practical guide for people teams
AI in HR works best as a drafting and thinking assistant: writing job adverts, updating policies, planning onboarding, summarising feedback, and wording sensitive messages with care. It can save people teams a lot of time. It should not make decisions about people, and everything it produces needs a human check for fairness.
Recruitment writing is a natural first use. Ask AI to draft a job description from a list of duties, then ask it to point out wording that might put some applicants off, such as needless jargon or phrases that lean towards one group. You decide what to change.
It also helps with everyday people work. You can ask for a first draft of a new policy in plain English, a week-one onboarding checklist, a summary of themes from anonymised survey comments, or a kinder way to word a difficult letter. Each is a starting point for your expertise, not a replacement for it.
It is useful for supporting managers, too. You could draft a short guide to running a fair interview, a set of structured interview questions for a role, or plain-English answers to common questions about leave and benefits. Always check anything policy-related against your real policies, because AI does not know them unless you tell it.
The biggest caution is bias in hiring. AI learns from past human decisions, so it can quietly repeat old unfairness, favouring some names, backgrounds, or career paths over others. Never let AI screen, rank, or reject candidates on its own, and check any tool that does this for fairness before you rely on it.
The second is employee data. Keep names, health information, grievances, and performance records out of public AI tools, use only tools your organisation has approved, and check your local employment and data protection rules.
Start here
New to this? These short reads get you oriented before you try anything.
AI tools that screen CVs and rank candidates can carry unfair patterns learned from past hiring. You will learn where that bias comes from, what it means for recruiters and jobseekers alike, and how to keep a human firmly in the loop.
Before anything AI helped with reaches a boss, client, or customer, it needs a human check. You will learn a quick routine for verifying facts, catching bias, and owning the result so the responsibility stays clearly with you.
What actually happens to what you type into an AI tool, and why that matters for client data, personal details, and trade secrets. You will learn safer habits and how business versions of these tools differ from the free ones.
A few prompts to try
A prompt is a ready-made instruction you fill in and copy into an AI tool like ChatGPT, Claude, or Gemini. Here are a few worth trying first.
Job Description Writer
Turn a few notes about a role into a clear, welcoming job description that covers the responsibilities, the must-have skills, and what makes the job appealing.
Use this prompt →
Feedback Rewriter
Turn blunt or frustrated feedback into a message that stays honest but lands as constructive and kind, so it helps rather than stings.
Use this prompt →
Difficult Conversation Helper
Prepare for a hard conversation by working out what to say, how to open it, and how to handle the tricky moments, so you go in calm and clear.
Use this prompt →
Professional Email Rewriter
Transform a draft email into a clearer, more professional version while keeping your key points intact.
Use this prompt →
Go further with step-by-step solutions
When you are ready for a bigger task, these walk you through it from start to finish.
How to write a simple AI policy for your team
End up with a clear, one-page AI policy your team can actually follow. You will start from a plain-English template, adapt it to how your people work, and roll it out without turning it into a rulebook nobody reads.
Works with Claude, ChatGPT, Gemini
How to onboard your team to AI with a simple checklist
End up with a simple checklist for introducing AI to your team well, covering what to set up, what to share, and what to agree together. You will start from a plain-English checklist, tailor it to how your people work, and roll it out in an afternoon.
Works with Claude, ChatGPT, Gemini
How to make a difficult decision with AI
Use AI as a thinking partner to work through a tough choice, weighing the options clearly instead of going round in circles. You will end up with a clear, weighed-up view of the decision, though the final call stays yours.
Works with Claude, ChatGPT, Gemini
Frequently asked questions
- How is AI used in HR?
- Mostly for writing and organising: job adverts, policies, onboarding plans, interview questions, and summaries of feedback. Some organisations also use AI tools to screen job applications, which is where the most care is needed because of the risk of bias.
- Can AI be biased in hiring?
- Yes. AI learns patterns from past data, and if past decisions were unfair, it can repeat that unfairness at scale. Keep a person making and owning every hiring decision, and ask any supplier how their tool is tested for bias. Our guide to bias in AI hiring explains more.
- Is it safe to put employee information into AI?
- Not into public tools. Employee records, health details, and grievances are some of the most sensitive information an organisation holds. Remove identifying details, use approved tools only, and check your local data protection rules before using AI with any people data.
- Will AI replace HR teams?
- It is far more likely to change the work than replace it. AI can take on drafting and admin, but HR is built on trust, judgement, and handling sensitive situations well, and those need a person. The teams that benefit most use AI to free time for exactly that work.
Want the full picture?
The AI at Work learning path covers the foundations for every role, step by step.