Human First, AI Fast: How HR Turns a Powerful Technology into Everyday Value
AI is already in our hands. HR’s role is to guide its use with purpose, clarity, and human judgement.

Human First, AI Fast: How HR Turns a Powerful Technology into Everyday Value

I grew up in hotels where great service depended on what people noticed, remembered, and cared about. Names at breakfast. A quiet room for a guest who had travelled through the night. A call to check the conference projector actually worked. None of that was automated. It was human attention, well directed.

We now have a new team member. Generative AI sits on every laptop and phone, ready to draft, summarise, translate, and search at a speed that once required a project group and three meetings. Some colleagues experiment quietly. Others refuse to touch it. Leaders worry about risk, fairness, and control. Through it all, HR has a clear role. We set the tone, establish guardrails, and demonstrate how to utilise AI to enhance performance without compromising their humanity. This is not about shiny tools. It is about better work.

The world is moving, and HR must lead

The signal from global data is clear. Nearly three-quarters of executives say AI is critical to their company’s success, and a substantial majority describe their approach as scaling up. Only one per cent report that they are not using AI in any way. Most executives now require approval before introducing a new AI product, yet a sizeable minority admit they would use tools anyway, even without authorisation.

Trust is evolving as well. Executives believe AI tools, such as ChatGPT and Gemini, are more effective than traditional search engines for research and finding answers. Formal training is on the rise, and most leaders now report that their organisations provide it. On average, executives report that they already use AI tools for approximately forty per cent of their work, with a further group using AI for more than half of their workload. In short, adoption is already here. Our choice is whether HR leads and shapes that adoption, or leaves people to figure it out on their own.

There is a harder truth as well. Two-thirds of executives would rather use AI tools and be far more productive, even if that means reducing headcount, than keep the same number of colleagues with lower productivity. That may not be the world we want, but it is the context within which we must work.

What really changes when AI shows up

Throughout my career in luxury hotels, I have found that the best teams excel through rhythm and reliability. AI helps us create that rhythm by clearing the undergrowth.

Policies that used to take a day can be drafted to a solid first pass in half an hour. Induction plans that once lived in someone’s head become practical checklists tailored to the role. Reward benchmarking that needed consultants and endless spreadsheets can be accelerated by better analysis and sharper prompts. Learning programmes that stalled in version control can be outlined, sequenced, and refreshed quickly enough to keep pace with the business. When used effectively, AI delivers four practical benefits.

  1. It removes friction: Routine tasks stop clogging calendars. People spend more time with teams and less time formatting.
  2. It raises the floor: First drafts arrive cleaner. Managers get better prompts for tough conversations. New joiners receive practical guidance on their first day.
  3. It improves reach: Global and multi-site operations can adapt content to local needs without having to start from scratch each time.
  4. It builds confidence: When employees see their work speed up without losing quality, engagement rises. Gallup has reported that higher engagement is linked to lower turnover and higher profitability, with reductions in turnover ranging from 21 to 50 per cent, and profitability gains of up to 20 per cent. Customer loyalty and productivity are also moving in the right direction.

The value is real, but only if we pair speed with judgment. Without human checks, AI can sound fluent and be wrong. It can mirror old biases if we feed it old patterns. It is a fast engine that still needs a responsible driver.

A living policy that people actually use

In hotels, there are written standards and unwritten habits. AI needs both. A policy provides people with permission to use the tool and makes their expectations visible. The day-to-day habits turn a policy into culture. The most helpful approach is light on theatre and heavy on clarity. Five guardrails keep everyone safe and productive.

  1. Purpose: State why you use AI. Faster delivery, better learning, and more transparent communication are good reasons. Cost-cutting alone is not.
  2. Transparency: Say where AI was used, how inputs were chosen, and how outputs were checked. Openness builds trust.
  3. Fairness: Require active checks for bias. Encourage diverse test data and real examples, not just theoretical cases.
  4. Data Care: Protecting Personal and Confidential Information. Use secure tools for sensitive work. Teach people what must never be pasted into public systems.
  5. Ownership: Clearly state that the human is responsible for the work. AI can draft. People decide.

Keep the document short. Link clearly to existing policies on data, conduct, and performance. Then bring it to life with practice, not posters. Run short sessions. Share good prompts. Swap examples that went well and examples that did not. Build a safe space to learn, fast.

Governance matters, and the evidence supports it. Most executives report that approval is required for any new AI product or service. Most also report that their organisation provides formal training. Yet a meaningful number of employees will still use unauthorised tools if the official options are slow or limited. Your best defence is a good experience.

Where AI earns its keep across the employee journey

I have tested AI across the employee lifecycle and observed consistent gains when teams utilise it with intention.

Attraction and selection: Role profiles can be reshaped into candidate-centred adverts that are inclusive and clear. Recruiters can build interview packs for unfamiliar roles. Transcripts and summaries free interviewers to listen rather than type. HR still decides the scorecard and validates every choice.

Onboarding and induction: New starters need focus, not noise. AI can tailor a ninety-day plan based on the job description, interview notes, and the manager’s priorities. It can turn policy into plain language guides and answer repeated questions without the need for an endless hunt through folders.

Learning and Development: Curriculum Design Accelerates. Facilitator notes and exercises arrive faster. Learners can use AI to test understanding and practise scenarios that reflect real hotel life. The key is to keep content tied to behaviours and standards that matter in your business.

Reward and well-being: Pattern spotting enables us to identify inequities and trends early, particularly in complex, multi-property structures. AI can also help employees understand their benefits, which lifts perceived value and take-up. Sensitive data must remain protected, so choose secure environments and anonymised extracts.

Management and performance: Managers can draft objectives that align with strategy, create personalised development plans, and craft feedback that is both clear and constructive. The human conversation still matters more than the document. AI makes it easier to prepare well.

Implementation risks and how to handle them

Every innovation arrives with shadows. AI is no different. The risks are manageable when we treat them as design problems, not showstoppers.

Skills and confidence: Not everyone is comfortable with new tools. Create short, practical learning that focuses on real work. Ten minutes on prompts. Ten minutes on validation. Ten minutes on tone. Build confidence through doing. Most executives already accept that formal training is necessary, and reporting suggests that many organisations have it in place.

Jurisdictions and complexity: Multi-country teams face a maze of rules. You can use enterprise tools with proper safeguards for sensitive work, and keep public tools separate from personal data. Teach teams the difference in plain language.

Ethics and privacy: Apply the same standard you would expect from any supplier that touches employee information. Secure platforms. Clear audit trails. Regular review.

Change impact: Productivity gains create capacity. Decide how you will invest it. More meaningful work. Better service. Time to think back. If you fill every saved hour with more tasks, you lose the trust you are trying to build.

A simple playbook for HR teams

Grand strategies are less valuable than visible moves that build momentum. Three actions will move you from talk to traction.

  1. Map the quiet use. Ask teams where AI is already helping. You will find pockets of good practice and pockets of concern. Respond with curiosity, not blame.
  2. Run a focused sprint. Choose two workflows per function and set a four-week experiment. For HR, job adverts and induction plans are ideal. For line managers, one-to-one and team meeting notes work well. Share what worked and what did not.
  3. Coach the questions. Equip managers to ask six simple checks whenever AI is used.

These habits instil responsible use more effectively than any classroom session.

The future HR leader is already arriving

The stereotype of HR as a laggard is past its sell-by date. HR teams are now utilising AI to streamline recruitment, enhance the employee experience, and provide more accurate data for compliance and informed decision-making. Ninety per cent of HR professionals expect adoption to ramp up further this year. A significant share in the United States already views AI as a core support for talent management, from personalised learning to performance routines.

There is also a cultural shift within organisations. Executives now accept that AI has become the preferred way to search for and synthesise information. Most also agree that limiting AI to chatbot features misses the broader potential for agents that act, connect systems, and solve problems across workflows. The next phase will not be prompts and replies alone. It will be agents who prepare the pack before the meeting, draft the follow-up after the meeting, and remind you of your promises in between.

In a nutshell

AI is neither a threat nor a miracle. It is a power tool. In the hands of thoughtful people, it removes friction, lifts quality, and gives time back for the human moments guests and colleagues remember. In careless hands, it produces confident nonsense and repeats old bias at speed.

Our job in HR is to make the first outcome the norm. We achieve this by setting a clear purpose, teaching simple habits, protecting what must be protected, and maintaining ownership where it belongs. With that in place, AI becomes an integral part of the way we work, rather than being a part of the story itself. The headlines fall away, and the results remain. Better decisions. Faster cycles. Clearer messages. Teams with more time for the moments that matter.

Primary sources referenced in this edition


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Perfect framing, Karl Wood MIH, FCIPD, MBA. The brutal obstacle is that most companies are trying to build "human first" habits on a foundation of 'Digital Taylorism' that is actively anti-human. This is the Taylorist model that causes systems to reject 88% of qualified candidates and fuels a turnover crisis costing 33% of an employee's salary with every departure—it's a massive, hidden P&L leak. So the real question for HR leaders isn't 'What are our AI habits?' It's: How do we quantify the cost of this broken system so that dismantling it becomes an undeniable business priority?

thanks for this thought provoking article - and here is my thought on the newsletter - This is a thoughtful and grounded roadmap for HR’s evolving role in the age of AI. It reminds us that while technology accelerates tasks, it’s human clarity, care, and culture that turn tools into trust—and progress into purpose.

There are some very important and ongoing conversations that have to be had around AI to make it work well! Hadn't read before about it being so integral to the HR function.....

Absolutely spot on! The human element is what gives AI its true value- without thoughtful HR guidance, tools are just tech. Love the emphasis on purpose, habits, and human judgment. This approach ensures AI amplifies people, rather than replaces them, creating real impact across the employee journey.

I like how you framed HR’s role as the “safety layer” for AI, not the gatekeeper. You’re right, adoption’s already happening under the radar. How do you think HR can spot and guide those hidden AI experiments before they become messy?

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