ConnectiveRx, a patient access and affordability technology company supporting 140+ pharmaceutical relationships, 540+ brands, and 1.2 million prescribers, adopted the AI-Driven Development Lifecycle (AI-DLC) methodology from AWS and followed it with an enterprise-wide hackathon to accelerate AI-native development without sacrificing quality or compliance. The company engaged AWS in a structured AI-DLC program across three phases: Discovery and Planning, in which cross-functional teams identified high-value use cases; AI-DLC Execution, in which small teams applied AI-DLC in bolt sessions with Kiro as their AI development environment; and Scale and Expand, in which ConnectiveRx expanded AI-DLC to additional product teams and more complex use cases. Results included 68-87% effort reduction per use case, with work that previously required approximately 180 hours completed in approximately 24 hours, 2-4x faster resolution for production support issues, and doubled sprint capacity using AI-assisted development tools. Full strategic context was preserved, with no handoff documents and no re-explaining the “why” between planning and execution. According to Rizwan Sarkhot, Sr. Director, Cloud Engineering, ConnectiveRx, the goal was not simply to move faster but to bring AI into the development lifecycle while maintaining required quality and rigor.