Chief AI Officer Immersion
The Chief AI Officer (CAIO) Immersion creates focused space for senior leaders to step back from day-to-day execution and engage deeply with what it means to lead AI responsibly and effectively.
Leading AI with Purpose
Through expert-led sessions, real-world case studies, and applied strategic work, participants strengthen their ability to translate AI potential into organizational value. The program guides leaders from understanding the AI landscape to shaping governance and operating models to building an actionable roadmap for adoption and change. Each day is intentionally designed to move participants from insight to alignment to execution, equipping them to lead AI initiatives with clarity, accountability, and impact across their organizations.
Enroll in the CAIO Immersion
Certificate Program
Date: March 25-27, 2026
Location: University of San Francisco Downtown Campus
Enrollment Fee: $3,000 (early bird through Jan 31) – $3,500 (standard)
Enrollment covers participation in the in-person CAIO Immersion, all course materials, and provided meals during program hours. Travel and hotel accommodations are not included.
Why Join?
AI leaders are expected to move fast while managing risk, regulation, and organizational change. The CAIO Immersion creates focused space to step back, gain strategic clarity, and build the skills needed to lead AI responsibly and at scale. Through expert-led sessions, real-world cases, and peer exchange, participants leave with practical frameworks they can apply immediately.
Meet Our Instructors
Our program brings together academic faculty and industry leaders who guide participants through real-world AI strategy and practical frameworks. You’ll learn directly from instructors who work at the intersection of AI, policy, and business.
Program Schedule
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- Define the CAIO mandate
- Design AI strategy for efficiency, growth, risk mitigation, and new revenue
- Analyze real-world success and failure case studies
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- Executive overview of data, platforms, and architecture
- Governance, compliance, and ethical AI frameworks
- Operating models and talent strategy
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- Emerging technologies including generative AI, agents, and industry-specific applications
- Driving AI culture and adoption across the enterprise
- Project pitches: build and present a 12-month AI roadmap
- Closing dinner