Proof Object
AI Readiness Scorecard
A concise, board-ready snapshot that shows whether your data, ownership, and workflows can support an ROI-positive AI use case.
Data Surface
- Systems mapped end-to-end (source → models → consumers)
- Defined owners for schemas, lineage, and incident response
- Quality checks logged with accountable remediation
Governance & Access
- Role-based access aligned to business teams
- Audit trail for sensitive data handling
- Service accounts and secrets managed centrally
Workflow Readiness
- Candidate AI use cases mapped to data they require
- Success metrics defined before build
- Feedback loop for post-launch adjustments
What shows up in the scorecard
- Executive-readable score (green / amber / red) across each pillar
- Top three blockers with how-to-fix guidance and owners
- 6–12 month sequence of projects with effort vs. impact
- Evidence appendix so finance, ops, and engineering stay aligned