The 10 Pillars of AI Maturity
Navigating the complexity of intelligent transformation through a structured framework.
1. Strategy & Leadership
The “Why and What”
Strategic vision, executive commitment, and long-term direction.
2. Organization & Operating Model
The “Who and How” of Collaboration
Formal structures, roles, funding, and collaborative frameworks.
3. People, Talent & Culture
The Human Element
Skills, expertise, and the cultural mindset required for success.
4. Data
The “Fuel” for AI
Governance, quality, and accessibility of data as a strategic asset.
5. Technology & Infrastructure
The “Engine”
Foundational tech stack, platforms, and tools powering the lifecycle.
6. AI Lifecycle & Operations (MLOps)
The “Assembly Line”
Technical processes for building, deploying, and maintaining models.
7. Governance & Risk Management
The “Rulebook & Oversight Body”
Policies, enterprise risk oversight, and accountability frameworks.
8. Security & Privacy
The “Digital Fortress”
Technical/procedural controls to protect systems from breaches.
9. Responsible & Ethical AI
The “Moral Compass”
Principles ensuring fairness, transparency, and alignment with values.
10. Value & Impact Realization
The “Scorecard”
Systematic measurement, tracking, and scaling of business value.