What does readiness scorecard measure?

It measures strategy alignment, data readiness, operations maturity, governance strength, and team ownership.

Why score readiness before scaling AI?

It reduces rollout risk and helps leadership invest in the right operational gaps first.

Can readiness improve over time?

Yes. Re-scoring on a fixed cadence shows whether remediation actions are working.

AI Adoption Readiness Scorecard

Evaluate whether your team is ready to scale AI initiatives using a simple scorecard that leadership can review and track.

Score organizational readiness before scaling AI programs. Export a concise scorecard for leadership and rollout planning.

Team / ProgramReview cadence

Business strategy alignmentData readinessOperational workflow maturityGovernance and risk controlsTeam capability and ownership

Average score: 2.6/5 - Foundational gaps to close

# AI Adoption Readiness Scorecard

- Team: AI Program Team
- Review cadence: Monthly
- Average readiness score: 2.6/5
- Readiness level: Foundational gaps to close

| Dimension | Score (1-5) |
|---|---:|
| Business strategy alignment | 3 |
| Data readiness | 2 |
| Operational workflow maturity | 3 |
| Governance and risk controls | 2 |
| Team capability and ownership | 3 |

## Recommended next actions
1. Fix data quality and process ownership before model optimization.
2. Define governance policy, escalation path, and approval gates.
3. Run small experiments to build reliable baseline evidence.

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