📝Overview

OpenAI’s “Identifying and Scaling AI Use Cases” is a practical 34-page guide for organizations aiming to unlock real value from AI. Drawing on insights from over 300 deployments, 4,000 adoption surveys, and 2 million users, it outlines a clear three-step framework: identify high-impact AI opportunities, train teams on foundational use cases, and prioritize initiatives for maximum ROI. Featuring customer stories and detailed checklists tailored by department, the guide shows how to shift from experimental pilots to scalable adoption. It emphasizes leadership support, grassroots ownership, and interactive hacks like workshops and peer-led learning. Ultimately, the guide helps businesses build a repeatable, high-velocity AI discovery and scaling engine to stay ahead of competitors.

📚What You'll Learn

• How to spot AI opportunities suited to your organization’s strengths

• Ways to embed foundational use cases (e.g., content creation, data analysis) across departments

• A prioritization framework to rank projects by impact, feasibility, and speed

• Strategies for spreading adoption through leadership, training, and peer collaboration

👥Best For

• Enterprise leaders seeking a structured approach to jumpstart AI initiatives

• Product and project managers aiming to drive short-cycle wins

• Technical teams building out early experiments across departments

• L&D and innovation teams coordinating training and idea generation

• Organizations transitioning from pilots to strategic, scaled AI programs