The Platforms that Power AI ‐First Organizations

This chapter examines the pivotal role of AI platforms in facilitating organizational AI adoption, addressing the inherent complexity and emerging nature of the field. It proposes that AI expertise is “spiky,” with individuals excelling in specific areas while lagging in others. The authors advocate for platforms that simplify AI's complexity, enabling organizations to leverage AI across various functions without requiring high technical skills. The chapter outlines five central principles for successful AI platforms: modularity and interoperability, scalability by design, results-driven velocity, broad access, and progressive quality control. It discusses the challenges of friction in AI systems and the importance of a cohesive AI-enablement platform composed of interconnected subplatforms. The authors argue against the feasibility of a single, all-encompassing AI platform, suggesting that modular and customizable solutions are more practical. The chapter critiques conventional AI implementation approaches, highlighting two antipatterns: task-centric AI platforms and monolithic AI systems. The former optimizes individual tasks rather than full job roles, enhancing productivity by automating time-consuming activities and allowing employees to focus on high-value tasks such as insights generation and customer relationships.