Your AI Problem Isn't the AI

Seventy-nine percent of organizations have adopted AI agents in some form. Eleven percent have them running in production, actually capturing value. That gap isn't a model problem. The models are good. It's a workflow, governance, and execution problem, and most teams are making it worse by bolting AI onto a development process that was never built for agents.
AWS open-sourced the AI-Driven Development Lifecycle at re:Invent 2025. AI-DLC isn't "use AI to write code faster." It's a three-phase workflow: Inception, Construction, Operations. AI executes, humans approve, and context persists across the entire lifecycle instead of resetting every chat session. The teams actually shipping with this aren't using better models. They changed the system.

We'll cover what a production governance model actually looks like, the four failure modes that keep teams stuck in pilot purgatory, and a five-step sequence for getting off the whiteboard and into production. Without rebuilding everything at once.

Real numbers. Real failure modes. No vendor pitch.