An ongoing AI capability membership for knowledge workers and teams. A 12-week structured Copilot programme as the foundation, then weekly updates, monthly live sessions, community, and an annual refresh.
Most AI training is a one-off event. People attend, they're briefly enthusiastic, and within a few weeks they've largely reverted to how they worked before. The tools have also moved on. The content is already out of date. And nobody has actually measured whether anything changed.
This is the structural failure of how AI training is currently sold and delivered. It optimises for delivery — something that can be scheduled, invoiced, and marked as done — rather than for the thing that actually matters: whether people work better.
The AI Mastery Membership helps people use AI to do their work better, with a baseline measurement at the start, evidence of progress throughout, and a community that keeps them current long after the core programme ends.
The ambition is not modest: members should expect to meaningfully increase what they can produce and the quality of how they produce it.
A structured assessment grounded in occupational psychology. Establishes your AI adoption stage, productivity baseline, value stream analysis, and creates a personalised learning plan.
Weekly two-hour live sessions covering Copilot in real work, productivity improvement, thinking and decision quality, governance, enabling others, and learning to learn with AI.
Weekly updates, monthly live sessions and office hours, community access, and an annual programme refresh. The "stay ahead" part of the promise.
Revisit the baseline at three months, six months, and twelve months. Real evidence of change, not just a memory of attending something.
A properly designed assessment grounded in occupational psychology and years of practical evaluation work. It establishes four things before any learning begins.
Where you currently are on the AI adoption journey, how you use AI in real work today, your learner type, and the specific workflows where AI would add most value.
A self-report measure of how time is currently spent, what outputs are produced, and the quality of decisions and problem-solving — providing a genuine "before" measurement.
A structured look at whether the work itself is high-value, and where AI could eliminate waste rather than just speed up activity that doesn't need doing.
A personalised route through the core programme based on the diagnostic findings, including specific use cases for your role and a first safe experiment to start with.
Weekly two-hour sessions, live and recorded, with e-learning between sessions. Delivered as a cross-sector cohort for broader exposure to approaches you wouldn't encounter inside your own organisation.
Applied to writing, analysis, research, problem-solving, and communication in your actual tasks, not hypothetical exercises.
How to identify where AI genuinely adds value, how to eliminate low-value activity, and how to track whether your output is actually improving.
How to use AI to frame problems better, evaluate options more rigorously, and make better decisions, not just produce faster outputs.
How to use AI safely, avoid over-reliance and automation bias, and stay accountable for outputs.
How to explain and demonstrate AI use to colleagues, help others build confidence, and spread good practice.
Building the habits and judgement that persist regardless of which features are added or removed.
AI tools, features, and best practice change faster than any static course can keep up with. The membership layer is explicitly designed to solve that problem.
Short, curated, practical — what has changed, what matters for knowledge workers, and what to do about it. A filtered signal that saves you tracking developments yourself.
New content, applied practice, and open office hours. Bring real challenges and work through them with the group. Topics shaped by what members are dealing with.
A shared space where members exchange use cases, share what's working, and support each other across organisations and functions.
Each year, a new structured cohort programme incorporating everything that has changed. Re-enter the core programme with updated content, or access as a self-paced refresh.
The diagnostic baseline isn't just an onboarding exercise. It creates a reference point that members return to, so you can see real evidence of change rather than just remembering that you attended something and felt good about it at the time.
Knowledge workers who want to stay genuinely current with AI and have real evidence of improving their own output and capability. Ideal for ambitious professionals who can see that AI is changing their field.
Organisations that want to invest in ongoing AI capability for groups of 5 to 15 people, where a full company-specific programme isn't the right fit but generic training isn't enough.
People who have completed the AI Champions Programme and want to stay current, continue developing, and remain connected to a wider community of practice.