Platform engineers are increasingly tasked with enabling AI across teams—but without clear guardrails, usage can spiral into chaos. From unpredictable costs to shadow deployments, the lack of visibility puts both infrastructure and budgets at risk. This session dives into platform-level strategies for governing AI usage at scale. Learn how to integrate observability, enforce usage policies, and manage cost controls as part of your internal developer platform. Walk away with actionable insights to help your teams innovate with AI responsibly—without compromising control, stability, or spend.