Most organizations understand that AI will transform how they work. Few know how to design the conditions that make human judgment and AI capability stronger together. That gap is where Chris Huber Reitz operates.
As a Fortune 50 AI executive with 10 years in healthcare, Chris has trained more than 15,000 professionals on AI. He built enterprise capability programs where adoption required navigating clinical trust, workforce identity, and
institutional change.
He now leads Attainable AI, developing strategy and learning experiences for organizations navigating decisions that will define not just how they work but what they stand for, where getting it right matters beyond the bottom line.
He serves on the boards of Transylvania University and the Center for AI Testing and Evidence (CAITE).
Chris has taught topics ranging from AI Strategy to Change Leadership at Columbia University for over a decade and delivers executive programs at the University of Louisville. His method is deceptively simple, even when the work isn’t: he builds frameworks that give people language for what they’re navigating. He then uses narrative and facilitation to make those frameworks stick. His goal is never just understanding. It's belief that unlocks action.