AI Maturity Self-Assessment

AI maturity measures the degree to which organizations have mastered AI-related capabilities to achieve operational excellence. AI maturity is not defined by tech tools alone, but by how effectively the organization can improve outcomes by orchestrating people, technology, data, and process. Organizations that successfully navigate AI transformation gain competitive advantages, operate with greater efficiency, increase velocity and respond faster to market changes, delivering more value creation.

• Level 1 (Crawl): Initial unstructured exploration and planning.
• Level 2 (Walk): Structured learning, training, planning, foundation-laying, and initial POCs and pilots.
• Level 3 (Run): Operational deployment at scale, with robust infrastructure, governance, and security, and business value measured against KPIs.
• Level 4 (Fly): An AI-native organization where AI is central and pervasive, deploying advanced use cases like autonomous agents, advanced fine-tuned models, with continuous improvement and adoption of emerging capabilities.

For each dimension, 50% completion of a level unlocks the next higher level.