Something changes when you stop thinking about AI as an interface improvement and start treating it as infrastructure. The question shifts from “how do we make software easier to talk to?” to “what can systems do if they can reason?” Adding a reasoning layer alongside backend services enables judgment calls to be handled systematically, coordination across teams to become a software problem, and real delegation - within clear constraints- to move into operations. The systems that result look different from what most organizations are building today. They treat ambiguity as a first-class concern. They coordinate work across services never designed to interact. They make decisions within defined boundaries and escalate only what requires human judgment. Getting there means accepting that stochastic systems need different foundations than deterministic ones. Identity, observability, and auditability aren’t add-ons, they’re prerequisites for trusting systems that reason rather than execute. This talk is for anyone building or buying enterprise AI. We’ll map the path from today’s reality to what this infrastructure enables, and share the patterns that allow AI investments to compound—drawing on what we learned building AgentField.