Something interesting happens when you stop thinking about AI as an interface enhancement and start thinking about it as infrastructure. The question shifts from “how do we make software easier to talk to?” to “what can our systems do if they can reason?” A reasoning layer alongside your backend opens possibilities that weren’t previously available. Judgment calls that once required human routing can be handled systematically. Coordination across organizational boundaries becomes a software problem. Delegation with appropriate constraints and oversight becomes part of your operational vocabulary. The systems that emerge from this thinking look different. They treat ambiguity as a first-class concern. They coordinate across services never designed to work together. They make decisions within the boundaries you define and surface only what needs human input. Getting there means recognizing that stochastic backends demand different foundations than deterministic ones. Identity, observability, and auditability aren’t just bolt-ons they're prerequisites for trusting systems that reason. This talk is for anyone building or buying AI in the enterprise whether you're setting strategy or writing code. We’ll map the path from where most organizations are today to what this infrastructure unlocks. Drawing on what we’ve learned building AgentField, we’ll share the patterns that finally make AI investments compound.