Most organisations have an AI ambition problem. What they actually have is an AI readiness problem, and the gap between the two is wider than most leaders realise. This keynote unpacks what "AI-ready" actually means when readiness is treated as an ongoing capability rather than a completed course, the five most common mistakes organisations make when building AI capability programmes, and a real example from inside Accenture of how peer-led, business-unit-driven AI sharing sessions are building genuine capability without a big budget or a new platform. Key takeaways: - Learn how the readiness gap actually plays out: 84% of executives expect AI collaboration within three years, yet only 26% of employees have received any training to get there. - Explore the shift from one-off AI training events to co-learning, a model where humans and AI continuously learn from each other in the flow of work. - Understand the five most common mistakes organisations make when building AI capability programmes, and what to do instead. - Discover how Accenture's peer-driven, business-unit-led AI sharing sessions are building genuine capability without a big budget, plus three actions you can take immediately.