In this talk, we will look at how the deployment of Generative AI-powered products and services has played out in the large enterprise over the last year. What use cases are winning, and which ones are taking longer to realize value? How has last year's toolchain evolved and updated? How has the development of GenAI products matured across the different facets of software delivery like agile, devops, security, and data science. How has the promise of platforms helped enable large groups to accelerate their development cycles? In the context of these questions, we will review the patterns that are making teams successful, and the anti-patterns that are holding them back, based on lessons from deploying GenAI at one of the world's largest software companies.