Awaken
Understand what you're dealing with.
See what AI is actually doing to work, to your organisation, and to the people inside it. You cannot decide honestly from a position of managed ignorance.
Of course not. Yet cutting your people to save costs is exactly that trade: you lose the judgment, relationships, and know-how your growth runs on, just to shave a line on a spreadsheet.
Learn how to fuel growth, increase customer value, and lead innovation in the age of AI, without cutting out your company's heart and soul.
Expected release September 2026 Join the waitlist & get your free previewHow to Build Organisations That Last in a World Rewritten by AI
A cut lands on next quarter's numbers; the payoff from redeploying people is just as real but slower to surface. So most companies drift toward the cut by default, not by decision, because it's the figure the board can see. The ones who pull ahead refuse to let the visible number make the call.
Replace, and you save once. Redeploy, and the value compounds, year after year. Same cost base, growing value.
Not steps to complete, but orientations to hold — each one a shift in how you see the problem before you act on it.
Understand what you're dealing with.
See what AI is actually doing to work, to your organisation, and to the people inside it. You cannot decide honestly from a position of managed ignorance.
Decide what your organisation is for.
Direction, not just strategy. What you believe about your purpose, your people, and the trade-offs you are actually willing to make.
Build what that requires.
The specific capabilities to build, and an honest assessment of where you are starting from. Where the roadmap meets the resistance of actually building.
Make it the way you work.
Not a project with an end date, but a rhythm that becomes organisational character. Where most programmes decay, this is the difference.
Join the waitlist and the preview is yours: confirm your email and download it straight away. You'll also get updates as the book comes together, and go in the draw for a signed first-edition at launch.
The meeting almost every leadership team has already had, and the choice sitting underneath it that no one quite named: is AI here to take cost out, or to free your people up for the work that matters more?
Why deploying AI is not the win. The payoff comes only when you redesign the work around it — otherwise you bank a saving that built nothing. The proof runs through electricity, the cash machine, and the failure economists call “so-so technology”.
The idea the book turns on: two companies, the same tools, opposite futures — decided by a single question about where the freed time goes. Where the argument stops being a diagram and becomes a decision you make in person.
Something you can use on Monday. Two questions, one role at a time: what should the machine take, and where should that person's judgment go instead? The line between capacity that compounds and capacity quietly banked as a cut.
The thinking in this book comes from 25 years of leading real teams through real change. The author then completed the University of Oxford Saïd Business School's AI-Driven Business Transformation Executive Programme, finishing in the top “exceeds expectations” band (94.8%).
The book hasn't launched yet (release planned for September 2026), so you'd be among the very first leaders to read it, and to shape what comes next.
The fintech automated much of its customer support with AI, boasting that its assistant did the work of 700 agents, and cut headcount to save costs. By May 2025 it had reversed course and was rehiring: the CEO admitted the drive to cut had gone too far, and customers wanted a human for the cases that mattered. The AI handled the volume; the judgment and the relationships had left with the people.
In April 2025 its CEO told staff the company would go “AI-first” and gradually stop using contractors for work AI could do. The cold framing triggered a fierce backlash: loyal users deleted the app in protest, and within weeks he walked it back, saying he had “not given enough context” and that no full-time staff were being replaced. Signalling that you will trade people for AI can cost you trust long before it ever saves a salary.
As its chatbot took on nearly half of all customer queries, IKEA made the opposite call: rather than cut its call-centre staff, it retrained 8,500 of them as remote interior-design advisors. The capacity the technology freed up became a new service, one that has since grown into a revenue channel worth around €1.3 billion a year.
Amazon committed more than $700 million to its “Upskilling 2025” programme, a pledge to retrain 100,000 of its US employees for higher-skilled roles rather than replace them as automation spread. It treated the time AI saved as capital to reinvest in its people, betting that a workforce that grows with the technology compounds in value where one that is cut only saves once.
Of course not. Yet cutting your people to save costs is exactly that trade: you lose the judgment, relationships, and know-how your growth runs on, just to shave a line on a spreadsheet.
Stop lobotomising your company to hit a number. Back your people, and watch the value compound, year after year.
Free 3-chapter preview + a shot at a signed first-edition. Shipping September 2026.
Join the launch list and you go in the draw for a signed first-edition, drawn at launch (September 2026).
In your free preview: