Leadership Alignment & AI Sensemaking
Establish shared AI language, correct common myths, and address adoption barriers early. Learn the TOP Framework (Technology, Organization, People) and where leaders have direct leverage.
Bias & Decision Discipline
Understand statistical, systemic, and human bias. Apply practical human-in-the-loop checklists and decision hygiene principles to prevent overreliance and automation confidence.
Trust, Ethics & Responsible Oversight
Translate responsible AI into operational leadership behaviors. Build lightweight governance routines, define escalation triggers, and calibrate when to rely, verify, or pause AI systems.
Culture & Psychological Safety
Create the conditions where AI adoption becomes possible. Build experimentation routines, smart failure practices, and transparent communication structures that accelerate learning.
Leadership Behaviors for AI Transformation
Move from abstract strategy to visible leadership habits. Align incentives, enable quick wins, embed new ways of working, and practice four essential AI leadership roles: Teacher, Learner, Mobilizer, and Giver.
Collaboration & Operating Rhythm
Design cross-functional AI teams, capability multipliers, and communication systems that scale adoption responsibly across the organization.
By the end of the program, participants will be able to:
Lead AI adoption with clarity and credibility
Strengthen decision-making using AI responsibly
Embed ethical oversight and governance practices
Build trust and transparency in AI initiatives
Design sustainable collaboration models
Develop a 90-day AI Leadership Action Playbook
Delivered in collaboration with Strauss MindTech, combining behavioral science, leadership psychology, and responsible AI governance expertise.
Launching May Secure your place in the upcoming cohort