Pilots are easy to launch. Enterprise adoption is where AI strategies start to show their cracks. As HR teams move from experimentation to scaled implementation, the work becomes less about testing tools and more about redesigning how decisions, workflows, governance, data, and capability come together. Without the right foundations, AI initiatives stall quickly: adoption stays patchy, teams lose trust, risk ownership gets blurred, and early momentum disappears before measurable value can be proven. This session explores what it really takes to operationalise AI across the people function, from data readiness and workflow redesign to AI literacy, governance, change management, and cross-functional alignment with IT, legal, security, and the business. Attendees will learn how leading organisations are moving beyond isolated use cases to build AI adoption that is responsible, scalable, and measurable. Key takeaways: - Learn why many AI pilots fail to scale, and how to avoid the adoption, governance, and workflow gaps that slow progress. - Explore how HR teams can build the foundations for enterprise AI adoption, including data readiness, risk ownership, AI literacy, and capability building. - Understand how to align HR, IT, legal, security, and business leaders around a shared approach to responsible implementation. - Discover how to measure success beyond usage rates, with metrics that connect AI adoption to workforce, operational, and business impact.