AI Adoption
Define a clear, evidence-based approach to building AI capability and adoption that fits your organisation’s context and constraints.
Most organisations treat AI adoption like a software rollout: pick a tool, train the team, job done. But AI changes how we work, not just what tools we use. That’s why AI adoption hard. It means abandoning habits built over years, rethinking roles, and adapting while work identities shift and jobs change. That’s not a training challenge — it’s a seismic shift in behaviour.
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Meeting that challenge needs a different, holistic approach — one that treats it as an organisation-wide change initiative. An approach rooted in systems change, behavioural science, and empathy for the human experience of work.
Adoption Patterns:
Orientation
Spark the thinking
As organisations move beyond early experimentation with AI, a clearer set of patterns is emerging in how they build capability and support adoption at scale. Some approaches are starting to show consistent results, while others struggle due to common organisational challenges around direction, coordination, enablement, and measurement.
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Understanding these patterns is critical, not to copy best practice, but to recognise the key problems every organisation needs to solve to make AI adoption work in practice.
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This session brings those external patterns into your context, helping leaders make sense of what is happening across the market and what it means for their organisation. Participants explore the key challenges shaping AI adoption, reflect on how these show up in their own environment, and develop a clearer view of where to focus next.
At a glance
What it is
A 90-minute keynote and internal session that shares emerging good practices in AI adoption, highlights the organisational challenges behind them, and starts a more informed conversation about what this means for your organisation.
Who it's for
Leadership teams, transformation groups, and L&D or HR teams who are navigating AI adoption and want a clearer understanding of what is driving progress and where to focus next.
Outcome
A sharper understanding of what is driving or limiting AI adoption, a shared language for discussing these challenges internally, and more confident, focused conversations about where to direct effort next.
AI Adoption Opportunity Sprint
See the full picture
As organisations move beyond early experimentation with AI, the challenge shifts from using tools to building the capability and conditions required for adoption at scale. While a growing set of practices is emerging across the market, their success depends heavily on organisational context, including leadership priorities, ways of working, and how teams actually operate day to day.
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The Opportunity Sprint brings together external insight and your organisation’s internal reality to identify where AI can create the most value and what may be limiting progress today. By examining emerging practices alongside your current approach, it surfaces the most relevant opportunities, risks, and priorities, providing a clear basis for deciding where to focus next.
At a glance
What it is
A 4-6 week engagement combining external research, internal interviews, and a focused review of your current AI initiatives, if any, to identify where AI can create the most value and what may be limiting progress.
Who it's for
Transformation, L&D or HR leaders responsible for AI capability and adoption who want a clear, evidence-based view of where to focus and how to move forward.
Outcome
A decision-ready assessment of your current AI capability and adoption approach, including the most relevant opportunities, key risks and constraints, and a prioritised set of actions to guide next steps.