# Module 6 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:

1. Define **Metrics, value realization, and accountability** in the context of AI Strategy for Executives.
2. Walk through the lab as a proxy-data exercise, emphasizing what it can and cannot show.
3. Compare a baseline with an AI-enabled or more sophisticated alternative.
4. 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 metrics, value realization, and accountability: Design an executive metric set.**. Students should leave knowing exactly what artifact they are producing and how it will be judged.