Use this assessment to baseline your current state and identify the most valuable next steps. Score each dimension from 1 (ad hoc) to 5 (optimized).

1. Business Alignment

• Clear executive sponsorship for data and AI outcomes
• Use cases prioritized by value and feasibility
• Defined success metrics tied to business KPIs

2. Data Foundation

• Shared definitions for critical data domains
• Data quality monitoring for accuracy, completeness, and timeliness
• Accessible, governed data with lineage and metadata

3. Governance, Privacy, and Security

• Named data owners and stewards
• Policies for access, retention, and sharing
• Privacy and security controls embedded in delivery

4. Platform Architecture

• Scalable storage and compute with cost controls
• Reliable pipelines with SLAs and monitoring
• Standardized tooling for ingestion, transformation, and orchestration

5. Analytics and AI Readiness

• Reusable feature stores or curated datasets
• Model lifecycle standards for training, testing, and deployment
• Monitoring for model performance and drift

6. Operating Model and Enablement

• Cross-functional product teams with clear roles
• Change management and training
• A backlog and delivery cadence tied to outcomes

How to Use the Scores

• Prioritize any dimension scoring 1 or 2 before scaling AI.
• Focus the next 90 days on 2 or 3 improvements with the highest ROI.
• Re-run the assessment quarterly to measure progress.

CTA

Ready to move from strategy to measurable impact?

• Request a readiness assessment
• Schedule a strategy call

Sources

• NIST Privacy Framework
• ISO/IEC 27001 Overview
• DAMA-DMBOK Overview
• AWS Well-Architected Framework