Session: Beyond Adoption: Building Human-Centered AI Cultures That Actually Scale
Most organizations don’t struggle with AI capability — they struggle with human readiness. Tools work, but teams hesitate. Pilots succeed, but behaviors don’t change. This session shares practical, research-backed methods for building the trust, clarity, and conviction required for AI to scale. Drawing on the ACT+M™ and HAAS™ frameworks, attendees learn how to detect misalignment early, close cultural friction, and create the human operating system that makes AI adoption sustainable. Through real enterprise case studies, leaders will discover how to turn AI from a promising initiative into a culture-anchored, scalable advantage.
Bio
Deepika Chopra is an AI transformation executive and founder of AlphaU AI, where she helps organizations close the gap between what AI can deliver and what humans are ready to act on. Formerly an SVP leading AI and digital strategy at AIG, Citi, Siemens, and LPL, she is the creator of ACT+M™ and HAAS™, frameworks redefining how leaders measure trust, culture, and alignment in the age of AI. She is also the author of Move First, Align Fast.