Summary
As generative AI tools mature and boards demand measurable returns, many organizations remain stuck running siloed pilots rather than pursuing a unified, value-driven strategy for scaling artificial intelligence across the enterprise. Part of the Executive's Playbook to AI at Scale series, the case for change argues that CEOs, not just CTOs, must own the strategic plan for building, deploying, and managing AI at scale.
Leadership teams can align on a shared understanding of foundational models, training architectures, large language model capabilities, and the broader AI value chain before committing to transformation plans. Starting with narrow, uncoordinated use cases tends to produce limited returns compared to targeting high-value domains like customer journey or product development.
A significant portion of the guidance addresses organizational design: how CEOs can build cross-functional AI councils, structure sprint units that bring business, technology, and operations together, and decide between standalone operating units, product-and-platform models, or enterprise-wide extension of agile ways of working.
Drawing on examples including DBS Bank's experimentation-led AI culture, CEOs can set an aspirational vision, galvanize board and employee buy-in, and establish performance measures that track whether AI transformation efforts are actually translating into business value rather than remaining stuck in pilot mode.
What separates the CEOs who successfully scale AI across their organization from those left managing a portfolio of disconnected pilots?
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