Module 2 Narration#
Opening#
Open with the professional setting: an executive committee deciding which AI initiatives deserve funding next quarter. Ask students what decision is being made, who is affected, and what evidence would be persuasive to a skeptical reviewer.
Middle#
Move through the module in four passes:
Define Investment thesis and portfolio design in the context of AI Strategy for Executives.
Walk through the lab as a proxy-data exercise, emphasizing what it can and cannot show.
Compare a baseline with an AI-enabled or more sophisticated alternative.
Translate the result into stakeholder language: recommendation, risk, mitigation, and next evidence.
Closing#
Close by returning to the module artifact: board-ready AI strategy brief with portfolio prioritization and governance commitments focused on investment thesis and portfolio design: Build an AI portfolio map.. Students should leave knowing exactly what artifact they are producing and how it will be judged.