A Systematic Approach to Experimenting with Gen AI

This article presents a framework for organizations seeking to experiment effectively with generative AI technologies. The authors argue that firms should adopt structured experimentation processes to evaluate AI’s impact on productivity, workflows, decision-making, and organizational learning. Drawing on examples from early enterprise adoption, the article outlines strategies for piloting generative AI tools, measuring outcomes, and scaling successful applications while managing risks and uncertainty.