Use these checklists at project kickoff, before launch, and during quarterly reviews.

Strategy Readiness Checklist

• Business outcomes and KPIs defined
• Use cases prioritized by value and feasibility
• Executive sponsor and product owner assigned
• Funding and delivery timeline confirmed

Data Governance Checklist

• Data owners and stewards identified
• Data quality SLAs defined for critical datasets
• Privacy, security, and access policies in place
• Metadata and lineage captured for key data products

Platform Readiness Checklist

• Ingestion and transformation standards documented
• Monitoring and alerting for pipelines and SLAs
• Cost and performance guardrails implemented
• Backup and recovery plan tested

AI Model Readiness Checklist

• Training data validated for quality and bias risk
• Model purpose, limitations, and intended use documented
• Evaluation across segments completed
• Monitoring for drift and performance in place

CTA

Ready to move from strategy to measurable impact?

• Request a readiness assessment
• Schedule a strategy call

Sources

• DAMA-DMBOK Overview
• NIST AI Risk Management Framework (AI RMF 1.0)
• AWS Well-Architected Framework
• NIST Privacy Framework