Sample data, not real results
Sample report
Example Oy, 240 employees
EU AI Act Competence Evaluation · Fictional company
01
AI literacy baseline by role group
Score 0–100 · ▲ change since previous round
- 172.0▲ 6.0Engineering
- 261.0▲ 4.0Finance
- 354.0▲ 3.0Sales
- 447.0▲ 5.0Customer service
02
Gap areas and recommended measures
- Checking output: Customer service rarely verifies AI answers before use. Measure: short role-specific practice on verification.
- Iterating: Sales accepts first drafts. Measure: prompt-iteration workshop on real sales tasks.
- Data handling: Finance unsure what may be shared with tools. Measure: update AI use policy and brief the team.
03
Article 4 measures log
| What was done | For whom | When |
|---|---|---|
| Practical evaluation task | All staff | Mar 2027 |
| Verification practice session | Customer service | Apr 2027 |
| AI use policy briefing | Finance | Apr 2027 |
04
Article 26 oversight readiness for high-risk use cases
One possible high-risk use case identified (AI-assisted CV screening in HR). Two named overseers; one has completed the practical evaluation. Action: evaluate the second overseer and confirm their authority to intervene.
05
Comparison against the Initiative's benchmark
Anonymised peers · grows as data accumulates
- 159.0Example Oy
- 266.0Organisation A
- 352.0Organisation B
- 444.0Organisation C
06
Methodology appendix
Each participant completes a 30–45 minute practical task with their usual AI tools. Two dimensions are scored the same way for every organisation: process (prompting, iterating, checking the output) and quality of the result. Scores are aggregated by role group; no individual scores are reported.
Method version 1.0 · Sample generated October 2026
Not legal advice. This evaluation helps organisations document and target their AI literacy measures. It does not make anyone compliant or certified, and we are not a notified body.
Evaluation technology by Laituri.ai.