AI governance for brand assets: a policy framework

An AI governance policy for brand assets turns scattered AI experiments into controlled, auditable production. It answers five questions: which assets and tools are in scope, what data may go in, who approves what comes out, how AI use is recorded, and how compliance is checked. With EU AI Act transparency duties in force since 2 August 2026, brands need this policy written, owned and linked to their DAM.

The EU rules your AI policy must cover

The EU AI Act, Regulation (EU) 2024/1689, sets the timeline, and the Digital Omnibus on AI amended it in July 2026. Brand teams act mainly as deployers of AI systems, so Article 50 transparency duties matter most. Breaches of operator obligations, including Article 50, carry fines of up to EUR 15 million or 3% of worldwide annual turnover, whichever is higher.

Two other legal regimes complete the picture. The GDPR governs images and video of identifiable people, including any face recognition, as our GDPR and DAM guide explains. Copyright law, including Directive (EU) 2019/790, governs model training and the protection of AI-assisted output. Our article on the EU AI Act and marketing content details deployer obligations.

Five components of a brand asset AI policy

A complete policy has five mutually exclusive components, each with a named owner.

1. Scope and inventory. List every AI system that touches brand assets, including DAM features, creative tools, agencies' tools and agents, with its purpose and risk class.
2. Approved tools and data rules. Define which tools are approved, which assets and personal data may be used as input, and which contract terms (training opt-out, IP indemnity, EU processing) are mandatory.
3. Roles and approval rights. Assign who may generate, who reviews and who approves external use, typically brand owner, legal and the DAM team.
4. Lifecycle controls. Set rules for recording, labelling, provenance, retention and withdrawal of AI-touched assets.
5. Monitoring and training. Schedule audits, track incidents and train users; the Omnibus softened the Article 4 AI literacy duty, but trained users remain the cheapest control.

Recording AI use in the DAM

The DAM is the natural system of record for AI governance, because every asset passes through it. Add a small, mandatory metadata block to every AI-touched asset: AI involvement (none, assisted, generated), tool and model, prompt or template reference, approver and approval date, and Content Credential status. Make these fields searchable so legal can list every generated asset in a campaign within minutes.

Preserve and display Content Credentials wherever your tools support them. The Commission's Code of Practice calls for layered marking such as metadata and watermarks, and a DAM that strips manifests on export breaks that chain. Extend the DAM governance model so that withdrawal rules cover AI assets whose model terms or rights change.

Standards that make the policy auditable

Two frameworks give the policy a structure auditors recognise. ISO/IEC 42001:2023, the first international management system standard for AI, defines how to set AI objectives, assess risks and run continual improvement. The NIST AI Risk Management Framework 1.0, published in January 2023, offers a practical vocabulary of four functions: govern, map, measure and manage.

Most brands align with ISO/IEC 42001 without certifying, which costs little and eases later certification if customers ask for it. Review the policy at least once a year, and after every material change in regulation or tooling, such as new generative AI features in your DAM.

What to do next

1. Build an inventory of every AI system that touches brand assets, including agency and freelancer tools.
2. Draft the five policy components above and assign a named owner to each.
3. Add the AI metadata block to your DAM schema and make the fields mandatory for new uploads.
4. Check every AI vendor contract for training opt-out, IP indemnity and EU processing terms.
5. Schedule the first internal audit for three months after the policy goes live.