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AI & Future Work

HR AI adoption: helping colleagues use AI in everyday work

A practical look at HR AI adoption: clear guidance on tools, small low-risk tasks to start with and people who stay responsible for the result.

HR AI adoption: CTF session cover for Everyday AI

Giving colleagues access to an AI tool does not, on its own, create useful or confident use. HR AI adoption is a people and work challenge as much as a technology one. You need tasks worth improving, colleagues who feel able to try, and someone who still checks the result.

This piece draws on Everyday AI, a June 2026 CTF session with Fran Newman, People Director, Hero UK and Ireland. The session explored how to help colleagues improve real tasks with AI while keeping responsibility for the result.

Treat HR AI adoption as a people challenge

Hesitation about AI often has less to do with the technology than with uncertainty. People may be unsure what is allowed, worried about getting it wrong or unclear how it applies to their own job. So clarity comes first. Explain which tools people can use, what information must stay out of them and where to take questions.

Then make the learning practical. A short demonstration on a task someone does every week will teach more than a general overview. Confidence tends to grow when people try something small, see it help and understand where it fell short.

People teams also play two parts at once. They use AI in their own work, and they shape how the wider business hires, learns and builds new skills. Our article on FMCG workforce planning looks at planning for the skills a business will need next.

Choose use cases with a clear benefit

Good first use cases are small, frequent and low risk. Drafting a first version of a document, summarising long material or tidying up a spreadsheet are typical examples. They save time, and a person can easily check the result.

Before you start, agree what better would look like. That might be time saved, fewer errors or a clearer output. Run a short trial, compare the result with how the work was done before, and only then decide whether to extend it.

Take more care with anything that affects decisions about people. Screening candidates, assessing performance or setting pay all carry fairness and data protection risks. So those uses need clear rules, human review and advice from your data protection lead before any trial begins.

Help colleagues learn from each other

Peer examples often spread faster than formal training. A colleague who shows how they cut the time on a weekly report will persuade more people than a polished presentation. So make it easy for people to share what they have tried, for example through a team chat channel or short drop-in sessions.

Make it safe to get things wrong, too. People learn faster when they can ask a basic question or admit a mistake without embarrassment. Leaders set the tone here, because colleagues take their cue from how senior people talk about learning something new.

Keep human judgement in every decision

AI tools can get facts wrong, invent sources and miss context that a colleague would spot. So treat any output as a draft. Check facts, figures and interpretations against the original source before you rely on them.

Then decide who checks what. For each use, name the person who reviews the output before it informs a decision, and agree what happens if it turns out to be wrong. The more a task affects people, the closer that check should be.

Responsibility stays with the person using the tool. AI can speed up the work, but it cannot own a decision about a colleague or a candidate. If you are writing or updating an AI policy, the ICO's guidance on artificial intelligence and data protection is worth reading alongside it.

Four things to try with your team:

  • Publish clear guidance on which tools people can use and what data stays out.
  • Pick one small, low-risk task and agree what better looks like first.
  • Give people easy ways to share what they have tried and to ask questions.
  • Name who checks each output before it informs a decision.

The full session

Members can watch Everyday AI in full in the CTF Session Library, with the slides and the member ebook. The ebook includes two practical worksheets: one for finding useful AI tasks and one for starting a champions network. If you lead HR, Talent or People in a consumer business, apply to join or read what membership includes.