AI is being positioned as the next great transformation but it is following the same path as ERP and CRM projects that failed before it. Organizations are rushing to implement intelligent systems without fixing the underlying issues of data quality, process clarity, and human alignment. The result is predictable: faster, more expensive failure. This session draws on real-world experience rescuing complex transformations to show why AI projects are at risk of repeating history and how to prevent it. By reframing AI as a human and organizational challenge, not just a technical one, leaders can avoid the same mistakes and build systems that actually deliver value.