Establish effective AI governance through board-level Centres of Excellence that balance innovation with responsible oversight. These articles explain why AI CoEs must report directly to boards rather than IT, how to structure teams that span technical and business domains, and practical steps for managing AI initiatives at machine-decision speed. Discover how to transform shadow AI risks into governed innovation while building capabilities across the Five Pillars that enable sustainable AI transformation.
As organisations adopt artificial intelligence (AI) more widely, a critical challenge emerges: how do you build and manage teams capable of delivering on AI’s promise of increased productivity, enhanced customer experiences, accelerated innovation, and sustainable competitive advantage?
Last week, I had the privilege of delivering a keynote presentation at Monday.com’s Elevate conference in London. The topic, “Leveraging data and artificial intelligence (AI) for organisational transformation,” allowed me to challenge some common misconceptions about AI adoption and share practical insights on harnessing the power of existing data. In this post, I outline the key themes discussed and provide some additional context.