Governing AI Across a Global Marketing Enterprise

A global Fortune 500 consumer packaged goods (CPG) enterprise wanted to…

This case explores how a global consumer-products enterprise could govern distributed AI use across marketing, brand, creative, research, localization, agency, and regional teams without preventing speed, experimentation, or local-market judgment.

Marketing teams around the world are independently using AI for campaign copy, imagery, research, consumer insights, translation, localization, creative development, agency collaboration, and campaign analysis. This creates uncertainty about approved models, confidential information, consumer data, prompt ownership, generated assets, brand voice, claims review, cultural relevance, agency obligations, evidence retention, and auditability.

The proposed governance model focuses on the AI-assisted marketing workflow and content lifecycle rather than policy alone. It establishes global boundaries for approved tools, data use, content review, evidence, vendor obligations, exceptions, escalation, and controlled reuse. Markets retain responsibility for culturally and commercially appropriate execution within those boundaries.

The case broadens AI governance beyond legal and compliance by integrating brand governance, data governance, content governance, operational governance, and vendor governance. It also treats prompts, reusable workflows, and review practices as governed enterprise knowledge.

Executive theme: Govern AI

Primary object: Globally distributed AI-assisted marketing workflows

Central question: How can distributed AI use remain safe, brand-consistent, reviewable, reusable, and locally effective?

Central thesis: Global AI governance should create safe creative freedom, not replace local judgment with centralized control.