Why Your Enterprise Tech Stack Isn't Ready for AI Agents - And What to Build Instead

Agent-executed work is a new infrastructure primitive. Until you treat it that way, you're running a demo, not enterprise AI. Your existing stack was built for deterministic software. Agents reason, delegate, and make judgment calls. That distinction creates infrastructure problems most engineering teams haven't confronted: security vulnerabilities baked in by design, no audit trail, no explainability, no human-in-the-loop. At Anterior, we've deployed clinical AI agents across many of the largest US health plans, covering 50 million lives. Healthcare, with high stakes, strict regulation, deeply human workflows, exposes infrastructure gaps that exist everywhere - and makes the paradigm shift unavoidable: agent-executed work as a first-class primitive, alongside compute, storage, and APIs. We'll cover why bolting agents onto existing data pipelines fails, what infrastructure primitives are missing (and why teams don't notice until an audit), and how to architect a stack where security, compliance, and human oversight are load-bearing from day one. If you're serious about agents in any mission-critical context, this is the infrastructure conversation you need to have. Speakers: Christopher Lovejoy — Anthropic; Saul Howard — Anterior.