Most organisations are no longer asking whether AI matters. They are asking how to turn experimentation into measurable value. David Walker, Chief Product Officer at Decoded, explains why the next phase of AI isn’t about tools, but about leadership.
Most companies are experimenting with AI. Very few are seeing a real return on that investment.
At Decoded, we call this the “GenAI Paradox”: where high investment fails to move the needle on the bottom line. To break it, leadership has to evolve. It’s no longer enough for managers to use AI tools. They need to understand where AI creates value, how it should be governed, and what it takes to make it work in practice.
This is where most organisations are stuck.
There’s no shortage of ideas, pilots or tools. What’s missing is the capability to turn that activity into something operational, repeatable and measurable.
That gap sits with leadership.
Decoded has now been approved to deliver a new set of AI Leadership Apprenticeship Units, designed specifically for leaders responsible for turning AI ambition into real-world outcomes.
Not board-level vision. Not hands-on engineering. This is for the leaders in the middle, the ones making decisions about investment, adoption and implementation.
The programme is structured around three core areas:
– AI Strategy & Opportunity
Understanding where AI creates value, where it doesn’t, and how it connects to organisational priorities.
– AI Adoption, Procurement & Governance
Making informed decisions about tools, suppliers and risk, and putting the right guardrails in place.
– AI Delivery & Organisational Transformation
Ensuring AI is implemented effectively and embedded into how teams actually work.
Individually, each unit solves a specific problem. Together, they address the full leadership challenge: from identifying opportunity through to delivering change.
Most AI strategies fail for the same reasons transformation programmes always have.
Legacy systems. Fragmented processes. Unclear ownership. Cultural resistance. Governance gaps.
AI doesn’t remove these problems. It exposes them.
That’s why leadership capability matters.
This isn’t about teaching leaders how AI works in theory. It’s about helping them make better decisions in context, with real constraints, real trade-offs and real accountability.
– Where does AI actually create value in this organisation?
– What should we build, buy or avoid entirely?
– How do we move fast without creating unmanaged risk?
– What changes in how teams work when AI is introduced?
These are leadership questions, not technical ones.
We’re moving out of a phase where AI is something people try, and into one where it becomes part of how organisations operate.
That changes the role of leadership.
It’s no longer about encouraging teams to experiment. It’s about setting direction, making decisions and taking responsibility for how AI is used.
In practical terms, that means:
– Moving from isolated pilots to prioritised opportunities
– Moving from tool selection to structured decision-making
– Moving from informal use to governed adoption
– Moving from experimentation to implementation
The technology is already here. The constraint now is leadership capability.
The next phase of digital transformation won’t be defined by who has access to AI. It will be defined by who can apply it well.
The organisations that win will not be the ones with the longest list of AI tools. They will be the ones with leaders who can spot where AI creates real value, make confident decisions about adoption, put the right guardrails in place and embed it into the way work actually gets done.
That’s the gap these new AI Leadership Apprenticeship Units are designed to address.
If your organisation is moving beyond experimentation and starting to ask “how do we make this work at scale?”, it’s a conversation worth having.
Let’s talk about how AI Leadership fits into your wider strategy.
If you’d like to learn more about Decoded and how we can help transform your
organisation, we’d love to hear from you.
