The next wave of AI isn't about better models, it's about agents that can reason, plan, and take action across real systems. For most companies, the shift from prompt-based experimentation to production-grade agents is where the real complexity begins. Swami Sivasubramanian draws on AWS's view across thousands of enterprise deployments to break down what that transition actually looks like, the infrastructure decisions that determine reliability, the governance challenges that derail rollouts, and the orchestration patterns that separate agents that work from agents that don't. If you're planning to move beyond models and into agents, what do you need to get right before you scale?