AI Transformation Boardroom

A $3,000 premium diligence course for evaluating AI transformation opportunities like an operator, investor, or executive sponsor. Covers market signal reading, capability maturity, portfolio prioritization, risk exposure, operating model, budget, and board-level narrative. Built for leaders who need a credible AI transformation thesis instead of a pile of disconnected pilots. Core sources: - https://aiindex.stanford.edu/report/ - https://www.nist.gov/itl/ai-risk-management-framework/generative-artificial-intelligence-profile - https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf

Curriculum

1.
Transformation thesis
Define where AI changes cost, speed, quality, customer experience, or product capability in the business.
2.
Capability maturity review
Assess data readiness, workflow maturity, leadership alignment, technical capacity, and risk controls.
3.
Portfolio prioritization
Balance quick wins, platform investments, strategic bets, and high-risk experiments.
4.
Board-level risk register
Vendor concentration, data exposure, compliance, reliability, workforce impact, security, and model performance risk.
5.
Budget and operating model
People, tools, governance, implementation partners, shared infrastructure, and ongoing evaluation spend.
6.
Investor-ready narrative
Turn the transformation plan into a credible story about defensibility, execution, and measurable outcomes.
7.
90-day executive plan
Create a concrete plan for decisions, pilots, metrics, owner accountability, and review cadence.