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AI readiness scorecard

Score your organisation across the five dimensions of AI readiness — leadership, workforce skills, AI literacy, culture, and measurement infrastructure. Each question uses a 1–4 scale. The tool calculates your score per dimension, ranks where you are most ready and most at risk, and generates a prioritised action plan. Takes under 5 minutes.

1. Leadership readiness
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Do your leaders model AI adoption and have the credibility to drive it below them?

Senior leaders use AI tools in their own work and share examples with the organisation
Not at allFully
There is a named executive sponsor for AI transformation with genuine commitment and resource authority
Not at allFully
Leadership can articulate a credible business case for AI investment to finance and the board
Not at allFully
Leadership readiness score—
2. Workforce skills foundation
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Do your people have the foundational skills that AI amplifies most effectively?

A baseline skills assessment has been conducted for the workforce populations most affected by AI
Not at allFully
Foundational skill gaps (writing, analysis, structured thinking) are being addressed alongside AI tool training — not after
Not at allFully
Role-specific skill requirements for the AI-augmented version of each major role have been defined
Not at allFully
Workforce skills score—
3. AI literacy at the right level
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Do employees at every level know how to use AI tools effectively for their specific role?

AI training is differentiated by role level — IC, manager, and senior leader programmes are distinct
Not at allFully
Employees know which AI tools are approved for which use cases and what the data privacy boundaries are
Not at allFully
AI training includes critical evaluation of outputs — not just generation; employees can identify when AI is wrong
Not at allFully
AI literacy score—
4. Culture and psychological safety
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Do employees feel safe to experiment with AI, share failures, and learn in the open?

The organisation has communicated explicitly and specifically about AI’s implications for jobs and roles — not just generic reassurances
Not at allFully
AI wins are celebrated visibly; employees who use AI effectively are recognised and their methods are shared
Not at allFully
Employees who are struggling with AI adoption have a path to support that doesn’t require admitting failure to their manager
Not at allFully
Culture score—
5. Systems and measurement infrastructure
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Can you see AI adoption happening, measure its impact, and report ROI to finance?

Baseline capability and workflow time data was collected before AI training began for the target population
Not at allFully
AI usage is tracked at the individual level — not just aggregate; you can identify who is and is not adopting
Not at allFully
The programme has a before/after productivity measurement that produces finance-credible ROI data — not just completion rates
Not at allFully
Systems score—