Why AI transformation needs people leaders in the room from day one
The short answer
AI transformation depends on people changing how they work, so it can't be left to the technology team alone. People leaders, in HR and across the business, make sure roles, skills, training, governance and communication keep pace with the tools. When they're involved from the start, adoption is stronger and risks are caught before they reach customers or employees.
Key takeaways
- 97% of CEOs plan to integrate AI, but only 1.7% feel fully prepared to do it (Cisco, 2025).
- 97% of HR leaders say their organisation offers AI training, but only 39% of employees say they've received it (Corndel, reported by HR Review, 2025).
- The questions that decide whether AI sticks are mostly about people: who does what, what good looks like, what's fair, and how you bring the team with you.
Most AI plans start with the technology
When a business decides it's time to do something with AI, the conversation usually starts with the tools: which platform, how many licences, which use cases, and who in IT or operations will run the rollout. People leaders tend to be brought in later, often when adoption has stalled, someone is worried about a policy, or something has already gone wrong.
I understand why it happens. The technology is visible and it feels like progress. Every AI tool changes someone's job, though, and how that change is handled decides whether the tool is used well, used badly or dropped altogether. I've written about what that looks like on the ground in why teams stop using the AI tools you rolled out.
The gap between the plan and the people
Cisco surveyed 2,503 CEOs of companies with more than 250 employees. 97% planned to integrate AI, but only 1.7% felt fully prepared, and 74% worried that gaps in their own understanding would hold back decisions at board level (Cisco, 2025).
The same gap shows up in training. Corndel's 2025 Workplace Training Report found that 97% of HR leaders say their organisation provides AI training, while only 39% of employees say they've received any. It also found that 48% of senior leaders have never used an AI tool, compared with 29% of middle managers (Corndel, reported by HR Review, 2025). So the people making decisions about AI are often the ones with the least hands-on experience of it, and the training that's been signed off isn't reaching everyone it was meant for.
AI training: what HR leaders say and what employees experience
Share saying their organisation provides AI training, and share of employees who say they've received it
What happens when people leaders aren't in the room
One of the best-known examples is from 2018, when Reuters reported that Amazon had scrapped an experimental recruiting tool. It had been trained on CVs submitted to the company over ten years, most of them from men, and it learned to mark down CVs that included the word "women's" (Reuters, reported by CNBC, 2018). The technology did exactly what it was built to do. What was missing was someone asking what it had learned from, and who it might treat unfairly.
The same pattern shows up in smaller ways every day: a lead-scoring model nobody can explain, a dashboard that rewards activity over judgement, or an AI coaching tool rolled out without anyone asking how it will feel to the people being coached. None of these are technology questions, and they're much easier to answer before a tool goes live than after.
For businesses operating in the EU, some of this is now law. The EU AI Act classes AI used in recruitment, in decisions about promotion or termination, in allocating work and in monitoring performance as high-risk, which brings extra obligations (EU AI Act, Annex III). People leaders are usually the first to know where those systems are being used.
What people leaders bring to AI transformation
People leaders don't need to become technical experts. What they bring is the set of questions that technology plans tend to skip. These are the six areas I cover in The AI Transformation Playbook for People Leaders, each with a worksheet you can adapt to your own organisation.
AI confidence
Can our leaders explain what AI is and isn't, and where it helps? Worksheet: AI Confidence Check-In.
Workforce readiness
Which tasks will be automated, supported or left alone, and what skills do people need? Worksheet: Workforce Readiness Audit.
Governance and ethics
Who's accountable when AI gets something wrong, and how would we know? Worksheet: Governance Gap Map.
Deployment in real teams
Are people trained to question AI outputs as well as use them? Worksheet: People Tech Deployment Checklist.
Regulation and risk
Could any of our AI use affect hiring, pay, performance or monitoring? Worksheet: AI Risk Readiness Scan.
Leading the change
What will we do in the first 90 days, and how will we bring people with us? Worksheet: AI Change Leadership Roadmap.
The six areas in The AI Transformation Playbook for People Leaders, each with its own worksheet.
From experience
I wrote The AI Transformation Playbook for People Leaders after more than a decade working in leadership development, education and culture change, alongside my commercial work. What I kept seeing was that the old playbooks for change no longer worked at the pace AI is moving, and leaders were wearing themselves out trying to keep up. I wanted to give people leaders something practical: the questions worth asking, and worksheets to start those conversations with their teams.
This matters in commercial teams too
When I talk about people leaders, I don't only mean HR. Sales, marketing and BD managers are people leaders too, and they're usually the ones living with the tools every day. They decide what good looks like, what gets praised in a 1-to-1 and whether the time AI saves is used well. I cover their side of this in how to lead a team that works with AI agents.
The best results I've seen come when HR and commercial leaders plan the change together. HR brings the thinking on skills, fairness, policy and change, and the commercial leaders bring a clear view of what customers need and what good work looks like. Neither can do it well on their own.
Where to start
If you're a people leader, start with the AI Confidence Check-In at the end of chapter 1. Complete it on your own first, then ask your leadership team to do the same and compare answers. It gives you an honest starting point, and it usually shows you quickly where the gaps in understanding are. Use the worksheets as a starting point and adapt them to your own organisation.
The AI Transformation Playbook for People Leaders is free when you join my mailing list, and you'll get one practical article a month as well.
The AI Transformation Playbook for People Leaders
A practical guide for people leaders leading AI change. Six chapters on AI literacy, workforce readiness, governance, deployment, regulation and leading people through change, each with a worksheet you can adapt to your own organisation.
Sources
- Cisco, CEOs Embrace AI, But Knowledge Gaps Threaten Strategic Decisions and Growth (February 2025)
- HR Review, reporting Corndel's Workplace Training Report 2025 (March 2025)
- CNBC, reporting Reuters: Amazon scraps a secret AI recruiting tool that showed bias against women (October 2018)
- European Commission AI Act Service Desk, Annex III: high-risk AI systems
Where this fits in WISE: this is part of Embedded adoption. See how the full WISE system works.
Questions people also ask
What role should HR play in AI transformation?
HR should help shape the plan from the start: which roles and tasks will change, what skills people need, how AI use is governed, and how the change is communicated. HR is also usually best placed to spot where AI touches hiring, pay, performance or monitoring.
What is AI literacy?
AI literacy is a basic, practical understanding of what AI is, how it works, where it helps and where its limits are. It gives people the confidence to use AI tools well and to question what they produce.
Is The AI Transformation Playbook for People Leaders free?
Yes. It's free when you join my mailing list, which sends one practical article a month. You can unsubscribe at any time.
About the author
Sarah L Morgan has led sales, marketing and BD teams for more than 20 years, from FTSE 100 media to £4m professional services firms. She now helps £5m to £30m businesses fix the people and process gaps AI exposes.
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