AI Use-Case Inventory for Marketing
Tags: Frameworks
TL;DR
- A central inventory documents every AI use case with purpose, owner, data, controls, and approvals.
- It underpins audits, incident response, and periodic reviews across teams and vendors.
Why it matters for HK marketers: It creates provable compliance and accountability aligned to local regulatory expectations.
Minimum documentation standard
Include for each use case:
- Purpose and business value
- Named owner and decision rights (approve/reject/pause/retire)
- Tools/models/vendors/features and approved use cases
- Data categories and sensitivity; prohibited data
- Risk tier and affected audiences
- Human control points and spending/delivery limits
- Disclosure/provenance decision and labeling approach
- Vendor status and contract terms (training/retention/ownership)
- Approval date and next review date
Operating discipline
- Change control: Track model/ToS changes, integrations, and market expansions.
- Monitoring & incidents: Link complaint logs, brand-safety flags, anomalies, and rollback records.
- Training & access: Role-specific capability records and permissioning.
Ownership
- Executive Sponsor/AI Governance Lead: Framework and standards
- Marketing Operations/AI Programme Lead: Inventory maintenance
- Campaign Owners: Use-case entries and ongoing accuracy
So what for marketers
Stand up the inventory before scale; make it the single source of truth feeding approvals, QA, and post-campaign reviews.
Sources:- (June 14) Responsible AI in Digital Marketing Playbook - Executive Summary & Checklists.pdf
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