Organizational AI Maturity Assessment

Transformational: Executive-led AI strategy, robust governance framework, clear vision
and roadmap

Strategic: Strong leadership support, established governance, clear strategic direction

Developing: Moderate leadership interest, emerging governance structures, growing
strategic awareness

Basic: Limited executive engagement, informal AI discussions, unclear strategic
direction

Minimal: Little leadership awareness, no governance structures, ad-hoc or absent AI
initiatives

AI-Native: Flat, agile structure with embedded AI roles, innovation-first culture,
cross-functional collaboration

Adaptive: Flexible structure with AI teams, change-positive culture, good
cross-department communication

Traditional Plus: Hierarchical with AI initiatives, moderate change acceptance, some
silos breaking down

Traditional: Rigid hierarchy, slow to change, departmental silos, limited innovation
culture

Resistant: Highly bureaucratic, change-resistant culture, strong silos, innovation
discouraged

Advanced: Cloud-native, AI-ready infrastructure, advanced analytics, real-time data
processing

Modern: Hybrid cloud, good data systems, emerging AI capabilities, solid technical
foundation

Evolving: Mixed legacy/modern systems, basic data management, limited AI infrastructure

Legacy: Predominantly legacy systems, poor data quality, minimal cloud adoption

Outdated: Very old systems, fragmented data, no AI-ready infrastructure, significant
technical debt

AI-Rich: Dedicated AI teams, comprehensive training programs, external partnerships,
innovation culture

Developing: Some AI specialists, structured learning programs, growing technical
capabilities

Basic: Few AI-skilled employees, ad-hoc training, limited technical depth across
organization

Limited: Minimal AI knowledge, traditional skill sets, little investment in capability
building

Deficient: No AI expertise, outdated skills, resistance to learning new technologies

Optimized: Continuous improvement culture, agile processes, data-driven decisions,
excellent change management

Managed: Defined processes, regular optimization, good change practices, performance
measurement

Defined: Standardized processes, basic change management, some performance tracking

Repeatable: Informal processes, limited change management, minimal performance
measurement

Chaotic: Ad-hoc processes, poor change management, no systematic improvement