This article discusses how the product development cycle is being transformed with "Artificial Intelligence" (AI) for the first time in zSeries history. This new era of AI, under the project name IBM Z Development Transformation (zDT), has allowed the team to grow and learn new skills in data science. This transformation forces change structurally in how data is prepared and stored. In z14, there were incremental productivity gains with enhancements to automation with eServer Automation Test Solution and a technology data analysis engine called zDataAssist. However, in z15, AI will significantly accelerate our efficiency. This article explains how Design Thinking and Agile principles were used to identify areas that are of high impact and feasible to implement: 1) what and how data is collected via System Test Event Logging and Analysis engine, Problem ticket management system (Jupitr), and Processor data analysis engine (Xrings); 2) problem identification, analysis, and management (AutoJup) along with Intelligent Recovery Verification Assistant; 3) product design documentation search engine (AskiheMachine); and 4) prototype microprocessor allocation processes Intelligent Commodity Fulfillment System using Machine Learning. This article details the approach of these areas for z15, the implementation of these solutions under the zDT project, as well as the results and future work.