AB-731: Six Questions to Evaluate Generative AI Business Value

About this video

Where can generative AI create measurable business value—and how should leaders evaluate an opportunity before investing? In this AB-731 lesson, we explain how generative AI differs from predictive AI and rules-based automation, then connect those differences to practical business decisions. We’ll walk through: • Five areas of potential value: cycle time, capacity, consistency, knowledge access, and service experience • Assistive capabilities, bounded automation, and the effects of scaling • How grounding improves relevance while still requiring output verification • Six practical questions for evaluating an AI opportunity • Common pitfalls, including measuring prompt activity instead of business outcomes For AB-731 preparation, practice connecting each use case to a specific workflow improvement. Identify who approves the output, what data is needed, how success will be measured, and what happens when the AI is wrong. The six-question test is a practical learning framework used in this lesson, rather than an official Microsoft exam checklist. Continue with the AB-731 Microsoft AI Transformation Leader playlist on this channel. Subscribe to LearningPathX for clear explanations of certification concepts and practical decision-making. #AB731 #MicrosoftCertification #AITransformationLeader