왜 AI 에이전트는 프로덕션에서 실망스러울까

AI agents excel in controlled demo environments but fail catastrophically in production due to unreliable data infrastructure, not agent design flaws. Organizations must implement four critical guarantees—freshness (timeliness of data), semantics (consistency of meaning across systems), safe write paths (transaction safety and access controls), and provenance (auditable decision trails)—to build production-grade autonomous systems. Without these infrastructure-level guarantees, even advanced AI agents will exhibit confident but dangerous errors that compound as system complexity scales.