Webinar
‍How to make AI transformation work

These days, the media is rife with reports of AI transformations not working or not having a clear return on investment. This is in part because AI transformations are historically pushed as a technology, rather than a strategic imperative. In this talk, we will examine how to make AI transformation work, and ensure a tangible return on investment.  McKinsey and MIT opine that over 80% of AI projects are not working out the way companies intend them to.

This presentation examines why AI implementation so frequently fails across the enterprise landscape. Real world examples are shared to highlight exactly what it takes to succeed. Drawing on MIT and BCG research, data shows that the vast majority of generative AI pilots yield no measurable return. This talk argues that technical capability and data readiness are rarely the true bottlenecks, even though they remain important challenges. Instead, real value from AI is the product of three compounding factors: whether the tool works, whether it is actually used, and most critically, whether it is applied to the right problems. Using historical parallels like the slow adoption of electricity in early manufacturing, the presentation frames AI as a transformation requiring workflow redesign and cultural change rather than just technology deployment. It outlines a structured digital strategy framework covering why, what, and how to digitalize. Finally, it emphasizes that AI initiatives must be anchored in corporate strategy and directly linked to measurable organizational outcomes.