The five pillars of AI success are: 1) Business Strategy - clearly defined objectives and measurement of AI value; 2) Technology Strategy - an AI-ready application and data platform architecture; 3) AI Strategy and Experience - a systematic, customer-centric approach to AI; 4) Organization and Culture - a supportive operating model and leadership; 5) AI Governance - processes for data privacy, security, and responsible AI use.

Organizations can measure AI value by defining and prioritizing business objectives, identifying specific AI use cases that align with these goals, and establishing metrics for success. According to a Gartner survey, 19% of organizations struggle with measuring AI value, highlighting the importance of a clear measurement strategy.

Organizational culture and leadership support are critical for AI success. Effective AI initiatives often stem from a culture that encourages experimentation and learning from failure. Leaders must actively support AI opportunities with resources and create an inclusive operating model that allows for broad adoption across business units.