Who it's for
board members and C-suite executives evaluating or overseeing AI investment and governance
What participants can do by the end
Describe the strategic impact of AI on business models, competitive positioning, and workforce requirements in GCC industries. Assess an organization’s AI strategic readiness across four dimensions: data, talent, governance, and infrastructure. Evaluate AI investment proposals against risk-adjusted return, governance compliance, and strategic alignment criteria before board approval. Judge whether a proposed AI governance model adequately addresses accountability, transparency, regulatory compliance, and reputational risk. Recommend a prioritized AI strategy for one business function, justifying the investment rationale and risk mitigation approach to a board.
How the three days build:
Day one covers how AI is reshaping competitive advantage across GCC industries, the difference between strategic value and strategic risk that boards specifically need to understand, then runs a four-dimension strategic readiness assessment, benchmarks where the participant’s sector sits on the readiness curve, and works through what a board-quality AI business case actually has to include, including risk-adjusted return calculation for regulated GCC sectors. Day two covers AI governance from the board’s perspective specifically, not the IT team’s, GCC regulatory expectations from TDRA, SDAIA, and CBUAE at board-level obligation, and what AI-driven workforce change means for Emiratization and Saudi Vision 2030 targets. Day three has participants build a board-ready AI strategy brief with four required components, practice presenting investment and governance decisions under stakeholder scrutiny, and commit to 30-60-90-day board priorities.
Participants leave with a brief they could put in front of their own board tomorrow
Why this matters at board level specifically
An AI investment decision made without a readiness assessment or a governance framework in place tends to look reasonable in the boardroom and expensive eighteen months later, once the data infrastructure gap, the talent shortfall, or the governance omission becomes visible. Boards that ask the right readiness and governance questions upfront catch these gaps before capital is committed, not after. This program exists so board-level AI decisions get the same rigor applied to any other major capital or strategic commitment the board is asked to approve.