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Retail AI Governance Models for Standardizing Analytics, Approvals, and Performance Visibility

Retail leaders are under pressure to scale AI without creating fragmented analytics, inconsistent approvals, or blind spots in performance. This article outlines practical retail AI governance models, decision rights, operating structures, architecture choices, and implementation steps that help enterprises standardize AI oversight while preserving speed, accountability, and measurable business value.