Transparent assessment notes
A structured readiness self-assessment, not a diagnostic.
These scorecards organize self-reported readiness signals into a practical conversation about what to clarify next. They are not independently validated, normed against other organizations, or a certification, audit, legal opinion, security assessment, or prediction of AI outcomes.
How the score is calculated
- Each required prompt is answered on a 1–5 self-report scale.
- Answers are averaged inside each named readiness dimension.
- The dimension averages are then averaged equally into the overall 1.0–5.0 readiness signal.
- The strongest and weakest dimensions guide practical next steps; they do not establish a benchmark rank or diagnosis.
Selected tools, business systems, and stated AI goals add follow-up context. They do not add or subtract points from the numeric score.
Readiness bands
Needs foundation
1.0–2.7
The next move is to build shared understanding, clarify guardrails, and pick a narrow starting point.
Building momentum
2.8–3.7
There is enough readiness to move forward, but the first pilots should stay focused and well supported.
Ready to apply
3.8–5.0
The readiness signal is strong. The next step is prioritizing use cases and turning one or two into accountable pilots.
What informed the prompts
The prompt themes draw on the following public frameworks and practical survey-design patterns. They inform the topics we ask about; they do not validate, certify, or calibrate this scoring model.
- NIST AI Risk Management Framework : risk, human oversight, governance, and trustworthy-use framing.
- ISO/IEC 42001 : organizational AI management-system and accountability concepts.
- UNESCO digital education and AI guidance : human capability, judgment, and responsible AI learning.
- European Commission DigComp framework : practical digital competence and critical-use framing.
Question sets and limits
Individual AI readiness assessment
20 required prompts across 5 named dimensions.
Organizational AI readiness assessment
18 required prompts across 6 named dimensions.
Results depend on who answers, how consistently they interpret each prompt, and what information is available at the time. Use the scorecard to start a responsible conversation, then gather operational evidence before making a material AI, vendor, policy, or pilot decision.