Most teams using agentic AI face a common problem: impressive demos that fail under real engineering constraints. This session introduces AWS Kiro and spec-driven development, a method that helps teams move from casual prompting to organized documents such as requirements, design files, and task plans that guide agent behavior throughout the process. Through a live demo and a case study from 1NCE, you will see how specifications make agent output reviewable before any code is written, how enterprise governance features like MCP registries, model controls, and IAM integration allow for safe large-scale use, and what it means when developers shift from writing code to overseeing architecture. You will leave with a clear framework for creating consistent, reliable, production-quality software with agentic AI on AWS.