The question was never whether your organization would adopt AI. It was whether it was ready to.
"The organizations that will define the next decade aren't the ones who moved fastest on AI. They're the ones whose cultures were ready to receive it."
A globally recognized SaaS collaboration platform. 1,200-person organization. Non-technical teams across sales, success, and support. Eight months. One decision: move at the speed of trust.
"They didn't just adopt AI. They built the culture to keep moving as AI keeps evolving. That's the difference between a rollout and a transformation."
The AI Readiness Score measures the six conditions that determine whether adoption sticks — before your next initiative launches. Twelve questions. One number. Two priority gaps to address first.
Takes five minutes. The insight lasts longer.
Your results include a personalized readiness report — formatted for a leadership conversation.
This is the platform to think it through with someone who has been inside this problem. Bring your score. We will tell you what it means, what it will take to shift it, and what working together looks like.
I have spent years inside enterprise transformation — leading AI adoption programs at a globally recognized SaaS collaboration platform, and before that, working across healthcare and professional health services organizations navigating the same pressures you are navigating now.
What I kept seeing was the same gap: a gap between what organizations expect AI to do and what their leaders and cultures are prepared to make possible. I built FVLT Advisory to close it.
Outside this work, I spend time in Chicago's cultural and creative community — which is where I first understood that the hardest part of any change is never the logistics. It is the meaning people make of it.