Set up AI governance
AI Governance Framework
The AI Governance Framework for marketing organises control in six areas: policy, roles, data, disclosure, risk tiers and review, so that AI use is safe, legal, on brand and auditable.
The model
- Policy
- Roles
- Data
- Disclosure
- Risk tiers
- Review
Developed by Markaigen · Updated
What each part means
- Policy
- Which AI tools may be used, for what, and what is never allowed, written in one page everyone can find.
- Roles
- Who owns each AI workflow, who approves output, and who can stop it.
- Data
- What data may enter which tool, under which agreement, and how long logs are kept.
- Disclosure
- When and how AI-generated content is labelled, in line with the EU AI Act and platform rules.
- Risk tiers
- A simple scale that sets the level of review for each use case by its error cost and exposure.
- Review
- The cadence for checking outputs, logs, incidents and the policy itself.
How to use it
- Start with the ten-point check; close the gaps that touch customers or personal data first.
- Keep governance proportional: a short policy that people use beats a long one they ignore.
- Review the framework after every incident and at least twice a year.
Check your governance gaps
Ten controls, three answers each. The result shows your coverage and the gaps to close first.
Answers are saved in this browser so you can return to them.
Download or e-mail this framework
Get a branded PDF or Word document, with your answers or as an empty template to fill in.