AI & LLM
AIReadinessAssessmentChecklist
Score your organization across 42 signals before you ship a single model.
PDF22 pages15 min
A field-tested checklist that founders and engineering leaders use to diagnose whether their data, infrastructure, team, and governance are ready for production AI. Includes a weighted scoring rubric so you can prioritize which gaps actually block your first release.
What's inside
- 42-point scoring rubric across data, infra, team, and governance
- Red-flag thresholds that indicate you should delay a launch
- Sample architectures for the three most common readiness profiles
- Stakeholder interview questions you can copy into your next sprint review
- Downloadable worksheet to baseline your score and re-measure quarterly