AI Maturity Framework

Creating a framework for AI maturity can help organizations assess their current capabilities and plan for future development. Here’s a structured framework that outlines different maturity levels, key dimensions, and associated activities.

Levels of AI Maturity

LevelDescriptionKey CharacteristicsActivities
      • Ad Hoc
      • AI initiatives are unstructured and sporadic.
        • Limited understanding of AI.
        • Minimal or no formal strategy.
        • Individual projects driven by specific needs.
        • Basic experimentation with AI tools.
        • No standardized processes or governance.
        Developing
      • Growing interest and initial projects are underway
        • Recognition of AI potential.
        • Some internal expertise developing.
        • Initial data collection and management efforts.
        • Pilot projects with limited scope.
        • Basic training programs for staff.
        • Establishing data governance frameworks.
        Established
      • Formalized AI strategy and structured processes.
        • Defined AI strategy aligned with business goals.
        • Cross-functional teams established for AI projects.
        • Improved data management practices.
        • Regular AI training and upskilling programs.
        • Development of internal AI models.
        • Integration of AI into business processes.
        Advanced
      • AI is embedded in the organization’s operations.
        • Scalable AI solutions across departments.
        • Strong data governance and management practices.
        • Continuous monitoring and evaluation of AI initiatives.
        • Advanced model development and optimization.
        • Collaborations with external AI partners or academia.
        • Creation of an AI center of excellence.
        Optimized
      • AI is a core component of the organizational strategy
        • Continuous innovation and improvement in AI capabilities.
        • Proactive use of AI for predictive analytics and decision-making.
        • Comprehensive ethical and governance frameworks in place.
        • Real-time analytics and adaptive AI systems.
        • Regular review and evolution of AI strategy.
        • Contribution to AI research and development in the industry.

        If you would like to discuss this or anything in relation to AI, data, and technology and how organisations are adding value by leveraging technology, please drop me a line and I will set up a call with you.

        AI MaturityOrganisational DevelopmentAI StrategyTechnology Maturity

        Strategenies

        [email protected] Copyright © 2025