Organizations should focus on five key pillars for AI success: Business Strategy, Technology Strategy, AI Strategy and Experience, Organization and Culture, and AI Governance. These pillars help define objectives, align technology with business needs, ensure a customer-centric approach, foster a supportive culture, and establish governance for responsible AI use.

To measure AI value, organizations should clearly define and prioritize their business objectives, identify relevant AI use cases, and establish metrics for evaluating success. According to a Gartner survey, 19% of respondents cited difficulties in measuring AI value as a barrier to implementation, highlighting the importance of a structured approach to value measurement.

Organizational culture is crucial for AI success as it influences the operating model, leadership support, and change management processes. Companies that foster an environment encouraging experimentation and learning, even from failures, tend to derive more value from AI. Strong relationships with subject-matter experts also enhance the alignment of AI projects with business objectives.