Why Your Enterprise AI Keeps Failing  And It Has Nothing to Do With the Model

Milan Parikh argues enterprise AI fails due to infrastructure, not models. Research like FraudSentinel and TrustGraph shows pipeline integrity, data lineage, and governance define outcomes. Event-driven architecture and auditability are critical. To succeed, organizations must treat AI as a system problem—not just a modeling challenge.