The role of AI, particularly generative AI, in transforming the Agile business analysis role from just requirements management to strategic value creation and discovering products and governance. This section will introduce the AI-Augmented Agile Business Analysis Framework, which in essence is a new concept that shifts the role of the business analyst from just task automation to what can be termed as "augmented cognitive decision support" or augmented intelligence. The framework has four levels: Strategic alignment (SWOT, MOST, PESTEL, VRIO); User-centered discovery (dynamic persona and predictive journey map); Solution modeling (UML/flowchart automation), Value delivery (AI test scenario and performance analytics).

This chapter also covers ethics, transparency, accountability, and auditability issues that come with using artificial intelligence by presenting a phased AI governance view for the Agile business analysis lifecycle. Hence, this study acts as an idea-based guide and important reference for academics and practitioners alike regarding AI-supported Agile business analysis.