AI readiness scorecard Japan
AI Readiness Scorecard
Use this scorecard before launching AI training, an AI workshop, or a 30-day implementation sprint. It helps managers check whether the team has a clear workflow, safe information
Direct answer
Use this scorecard before launching AI training, an AI workshop, or a 30-day implementation sprint. It helps managers check whether the team has a clear workflow, safe information
Direct Answer
Use this scorecard before launching AI training, an AI workshop, or a 30-day implementation sprint. It helps managers check whether the team has a clear workflow, safe information rules, review ownership, and a practical decision point after 30 days.
Who Should Use This
- SME owners, executives, department managers, HR/L&D, DX leads, and information-system owners.
- Teams that have tried AI informally but need a safer business process.
- Companies preparing for corporate AI training or an AI Opportunity Audit.
How to Use the Scorecard
- Choose one department and one workflow.
- Write the current business problem in plain language.
- Separate what AI can support from what people must review.
- Define prohibited information, review owner, and success criteria.
- Set a 30-day checkpoint for continue, revise, stop, or expand.
Scorecard
| Area | Question | Score 1-5 |
|---|---|---|
| Workflow | Is the target workflow specific enough to test? | |
| Information safety | Does the team know what not to enter into AI tools? | |
| Review ownership | Is one person responsible for checking facts, numbers, and tone? | |
| Training fit | Will participants practice on workflows close to their actual work? | |
| Adoption plan | Is there a 30-day action plan after training? |
Score Meaning
| Score | Meaning | Next action |
|---|---|---|
| 1 | Not ready | Clarify purpose, rules, and owner before training |
| 2 | Partly ready | Use an AI Opportunity Audit or workshop to narrow scope |
| 3 | Ready for a pilot | Run a small 30-day workflow test |
| 4 | Ready for department rollout | Add templates, manager review, and training assets |
| 5 | Candidate for broader rollout | Connect to policy, KPI tracking, and repeatable enablement |
Facilitation Notes
- Use anonymized or fictional examples during training.
- Treat ROI as a hypothesis until the team tests real workflow usage.
- Escalate legal, security, regulatory, or HR-sensitive items to the right internal owner.
- Keep the output as a team worksheet, not a one-time survey.
Where AI Business Japan Fits
If the score is low, start with an AI Opportunity Audit. If the team needs shared understanding, use Corporate AI Training. If one workflow is already clear, a workshop can turn the scorecard into templates and a 30-day plan.