Most companies know how many people have an AI licence. Few know who actually works well with AI. Deloitte’s State of AI in the Enterprise (2026) names worker skills as the single biggest barrier to integrating AI.

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Bring your current AI numbers. You’ll leave knowing which ones show capability and which only show activity.

What you'll learn

Claude Code LangGraph

Define what AI skills really are, then measure them with realistic case-based tasks.

Turn assessment into growth with a cycle: baseline, targeted learning, reassessment.

Show AI’s business impact by linking skill growth to speed, quality, and cost of work.

Trusted by 200+ L&D teams across Europe

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Why AI skills are hard to see

Surveys measure confidence

A high self-score doesn’t show who checks AI output.

Dashboards count logins

They show who opened the tool, not whether the work got better.

Training reports count completions

A finished course won’t defend a budget renewal.

How do you measure AI capability people trust?

Three steps. Each one feeds the next.

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Set the baseline

Scenarios in a practice workspace that mirrors daily tools, with no real systems or data.

Close the gaps

Scenarios in a practice workspace that mirrors daily tools, with no real systems or data.

Measure again

Reassess on the same expert-built standard to see what moved, by team, function and role.

Who it's for

Leaders who own AI transformation
CTO and tech leaders
Heads of AI and data