Licences bought, tools deployed, dashboards built, and usage flatlining after week three. The gap between we have AI and our people use AI well is where most AI investment quietly dies. Not for lack of technology; for lack of habit, judgement and confidence
What we do
We run role-based adoption programmes, dedicated tracks for sales, marketing, operations and leadership; prompt-engineering training that builds effective daily workflows; AI-governance training that teaches when to trust AI output and when to apply human judgement; and AI-champion development, so improvement continues from within long after we leave
Why this is different
The standard we hold
Adoption is our success metric, contractually and culturally. Deployment is the start line, not the finish
We train judgement, not just prompts, in regulated environments, knowing when not to trust AI is the highest-value skill we teach
The champion model means capability keeps compounding after handover. Your advantage deepens as your team’s skills do
Outcomes you can expect
What you walk away with
AI tools used daily, adoption that is real and measurable
Sound judgement about when to rely on AI and when not to
Competitive advantage that compounds as skills deepen
Challenge
Twice failed to enter Japan.
What we did
We changed the basis of the decision from assumption to evidence
Confirmed outcome
Refocused on two named accounts, capital protected.
AI in a Box · Training
Nine boxes. Start with the one that’s costing you most