Six-Dimension AI Readiness Diagnostic
A structured diagnostic that tells you exactly where your organization stands on AI preparedness — and what needs to happen before you invest. This is not a checkbox exercise; it’s a multidimensional evaluation that provides actionable visibility into your current capabilities across six interdependent dimensions.
Assessment Dimensions
Organizational Readiness
- Leadership vision and AI alignment
- Innovation strategy and risk appetite
- Cultural readiness and change appetite
- Organizational structure for cross-functional AI
- Capacity, KPI maturity, and accountability
Architectural Readiness
- ML pipeline orchestration capability
- Data labeling, pre-processing, versioning
- Dev-staging-production lifecycle support
- Model sharing and discoverability
- Scalable infrastructure for model complexity
Data Readiness
- Data quality: completeness, consistency, accuracy
- Data governance maturity
- Architecture and integration across systems
- Accessibility vs. data silos
- Compliance with data protection regulations
AI Readiness
- Team skills and proficiency assessment
- Quality assurance processes
- Governance for model lifecycle management
- Infrastructure for real-time and batch deployment
- Compute capacity for training and inference
GenAI Readiness
- Future-proofing strategies for GenAI expansion
- Quality assurance for generative outputs
- Governance for prompt engineering and hallucination management
- Infrastructure for LLM deployment and fine-tuning
Compliance Readiness
- EU AI Act risk classification awareness
- GDPR/CCPA compliance posture
- NIST AI-RMF alignment
- Ethical AI governance structures
- ESG impact considerations
Six-dimension assessment methodology for comprehensive AI readiness evaluation
Adapted from Dobrin, AI iQ for a Human-Focused Future (2025)Scoring Framework
Each dimension is scored against the Gartner AI Maturity Model:
AI maturity levels provide standardized benchmarking for organizational readiness
Gartner AI Maturity Model via Zabala, Grow Your Business with AI (2023)Assessment approach: We recommend a mixed-team model — a combination of internal stakeholders and external assessors. Pure self-assessment risks blind spots; pure external audit risks being perceived as punitive. The mixed model delivers the most accurate and actionable results.
Deliverable: Scored assessment report across all six dimensions, plotted against maturity levels, with prioritized action plan, estimated investment requirements, and gap-to-target roadmap.
Typical Engagement: 48–72 hours | Outcome: Clear go/no-go framework with maturity scores, gap analysis, and remediation priorities.
Find out where you stand.
Our readiness assessment gives you a scored, actionable diagnostic in 48 hours.