This two-day executive programme is built for the senior leaders who set AI policy, approve AI investment and answer for the results. It gives them the knowledge and frameworks to drive AI strategy within their organisations and covers the full landscape: understanding the technology, identifying opportunities, managing AI projects, navigating ethics and governance, and building an organisation ready for continuous change. The frameworks are applied to the participant's own initiatives in the hands-on exercises, and the governance lab and the AI Review Board run on synthetic cases.
Day one establishes the foundations and the strategy: what leaders need to know about AI today, the AI landscape and its maturity levels, the AI vision aligned to business strategy, the opportunity matrix, the decision to build, buy or partner, the ethical ground a board has to cover, the EU AI Act and the wider regulatory picture, and the business case with the true cost of AI and its return. Day two moves to execution and application: the AI project lifecycle and vendor evaluation, the governance operating model with its policy templates and decision rights, the people and change agenda, future trends, the AI Review Board, where participants examine a deployed AI system's pilot output and issue a go or no-go memo, and the capstone, where each participant develops an AI strategy proposal for their own organisation and presents it to peers for feedback.
Every module follows the TEA delivery framework, and fifty percent of the time is spent on live case analysis, executive roundtable discussion and hands-on scenario work. Participants leave with their own AI opportunity matrix, a 12-month AI roadmap, a governance framework aligned to the EU AI Act and global standards, and a boardroom briefing to defend all three. The programme closes on where the field is heading: agentic AI, where systems are given goals and complete work under human supervision, and what that means for the next decisions a leadership team takes.
