An AI Transformation Leader must adopt a strategic and balanced approach to building an AI portfolio. The most effective method, aligned with established business transformation principles, is to evaluate potential AI use cases against multiple criteria. This includes assessing the potential business value or impact (e.g., revenue growth, cost savings), the technical and organizational feasibility of implementation, and the associated risks (e.g., ethical, security, reputational). This structured ranking process ensures that resources are allocated to initiatives that offer the highest strategic value and have a reasonable chance of success, forming a core tenet of AI-driven business strategy.

A. This approach is reactive and political, not strategic, and leads to a misallocation of resources based on influence rather than value.

B. Focusing only on technology without considering business impact often results in "solutions looking for a problem" and fails to deliver ROI.

C. This "fail-fast" approach, if not guided by potential value, is inefficient and lacks the strategic direction needed for transformative change.

1. Microsoft AI Business School. "Define an AI strategy to create business value". Microsoft Learn, Module 2. This module emphasizes aligning AI initiatives with business goals and assessing feasibility. Section: "Create a use case portfolio".

2. Microsoft. "AI Adoption Framework for leaders". Microsoft WorkLab. This framework guides leaders to "Identify business scenarios with the highest value" and "Assess feasibility and readiness," which directly corresponds to ranking by impact and feasibility. Section: "Phase 1: Define Strategy".