AI Inventory for Marketing Governance
Tags: Frameworks
TL;DR
- A central register of AI use cases is required before launch, capturing purpose, owner, data, tools, risk tier, controls, and approvals.
- It enables tiered routing, monitoring, and audits under real campaign deadlines.
Why it matters for HK marketers: Without an inventory, you can’t prove control, route reviews proportionately, or respond quickly to incidents.
What to Capture (Minimum Documentation Standards)
- Purpose and value expected; affected audiences; permitted boundaries; prohibited actions.
- Named accountable owner and decision rights (approve/reject/pause/retire).
- Tools/platforms/features used; vendor status; training/retention settings; ownership conditions; responsible internal contact.
- Data categories and flows (incl. cross‑border transfers); privacy notices/consent basis; retention/deletion settings.
- Risk tier and human control points; disclosure/provenance decision; role‑specific approvals and review dates.
- Monitoring plan and incident response linkage; evidence preservation requirements.
Operating the Inventory
- Register every AI touchpoint across planning, data analysis, creative, activation, customer interaction, measurement, and optimization.
- Use the register to trigger risk‑tiered review routes (Marketing, Legal, Privacy, Security, Data, Procurement, leadership) and to brief external partners.
- Maintain post‑launch updates: incidents, corrections, lessons learned; retire prompts/assets/integrations/tools that no longer meet requirements.
So what for marketers
Stand up a lightweight but mandatory AI inventory and make registration a go‑live gate for any AI‑enabled activity.
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