Procurement AI Needs Operating Foundations

Procurement AI often fails to scale because visible algorithms depend on less visible foundations across data, integration, process, roles, and governance. The article explains why pilots can succeed on clean data but underperform when exposed to real supplier, contract, ERP, portal, email, and spend analytics environments. It frames AI readiness around three layers: algorithms, technology integration, and the larger operating model of people, decision rights, approval thresholds, auditability, and exception handling. Technology leaders should assess procurement AI as an operating-model change, not only as a model-selection exercise.