Many organisations now have guidelines for AI. The next step is proving that people understand and apply them.
A dashboard makes the difference between "we think everything is fine" and "we can prove it".
What does "audit-proof" mean in practice?
- You can show who uses AI and for what purpose (scope).
- You can show who has been trained and assessed (evidence).
- You can identify gaps and demonstrate follow-up (action).
What a good dashboard shows at minimum
- Coverage: % of employees trained per department/role.
- Quality: score distribution and trends per period.
- Recency: when was the last training/assessment completed?
- Exceptions: who is behind and what actions are planned?
- Exports: quick reporting (PDF/CSV) for audits and management.
TipTip: link dashboards to role profiles. "Sufficient AI literacy" is not the same for everyone.
How Qrio supports this
Qrio combines training, assessment, and reporting. As a result, evidence is automatically accumulated during adoption, without extra spreadsheets.
You gain insight into progress and can quickly demonstrate what your organisation is doing about AI literacy.
Conclusion: make evidence part of learning
With a dashboard you make AI competencies visible and can steer targeted improvements.
Want to set this up in practice? Qrio gets you to audit-proof demonstrability within weeks.