The hard part isn't buying AI. It's getting people to use it. That's the part I own, and I've been shipping change at enterprise scale for more than twenty years.
Most enterprise AI projects don't fail at the demo. They fail three months later, when the pilot impressed everyone and then nobody opened the tool again. Closing that gap is the work I do. Right now I'm leading a Microsoft 365 Copilot and agentic-workflow adoption program across 12+ business units at a publicly listed insurer, measured on whether people actually use it, not on how many licenses got bought.
I've been inside this problem for more than twenty years, on the operator side, not the slideware side. I ran eCommerce across 120 hotels, led digital transformation for one of Europe's largest real estate groups (Aroundtown SA, MDAX-listed), shipped GenAI rollouts at enterprise scale, mentored PropTech startups, and filed a patent along the way. The thread is always the same. I turn "AI sounds important" into something that ships and that people keep using.
I also tend to see the shift early. Back in the mid-2000s I was talking about something I called Digital Sense: the idea that information, commerce, and creativity would stop being things you click through and start being things you talk to. People thought it was far-fetched. Today it's just how things work. Same pattern with VR property tours before real estate wanted them, and with measuring AI visibility before most brands realized ChatGPT was answering questions about them.
The shift I'm most focused on now: the citation economy. Your brand's value is no longer measured by traffic. It's measured by how often AI systems cite you as the answer. Most companies aren't tracking this yet, and the ones who fix it early hold a real edge in their category.
If you're past the AI-curiosity stage and into the "make this work across the whole organization" stage, that's where I'm useful. Let's talk.
