While preparing to work with the top executives of another publicly traded company on AI (🇺🇸, NYSE) this week, I'm reminded of how much I love doing this at a global scale, from the U.S. to the Middle East 🌎
Hundreds of notes and weeks of prep ahead of each engagement don't feel like work. Changing companies, helping them rethink their business and operating models, foreseeing the future of technology, connecting their capabilities with the ground reality: the hard truths and pain points of executing an AI transformation inside challenging corporate environments.
More than Copilots
It's easier said than done. Executing AI transformation at global scale is surely much more than rolling out "Copilots". Copilots are a starting point: they bring immediate wins for individual tasks. The real work begins when you rewire the operating model around them, begin connecting the data, and turn scattered pilots into a coordinated capability that an entire organization can build on.
The foundations most organizations skip
Every organization claims to be AI-driven these days, but 95% fail to invest in the necessary foundations to succeed. The Leadership Teams that thrive are honest enough to step back and say "we're not yet there", relentlessly searching for the vision and steps needed to compete in this new Era.