Training & Capability Building
Design role-specific AI training paths, build competency frameworks from awareness to mastery, and create assessment rubrics for your entire organisation.
Competency Framework Builder
Explore the four levels of AI competency. Click each level to see the skills, behaviours, and assessment indicators required to progress from awareness to mastery.
Training Path Designer
Select a role to see the recommended AI training path with modules, time commitments, and learning objectives. Each path is designed to take employees from their current level to the target competency.
Assessment Rubric Builder
Select a competency area to generate a detailed assessment rubric with criteria, rating scales, and observable behaviours at each level.
The Skills Gap: 87% Expect Change, Only 14% Are Trained
Research shows that 87% of workers expect AI to change their role in the next two years, yet only 14% have received any formal AI training from their employer. This gap represents both a risk and an opportunity. Organisations that invest early in structured capability building gain a significant competitive advantage in talent retention and productivity.
The most effective training programmes share three characteristics: they are role-specific (not generic), they are ongoing (not one-off), and they include hands-on practice (not just theory). A 30-minute weekly commitment is more effective than a full-day workshop once a quarter.