Beginner's Guide to AI Governance in Marketing
Where to start when building an AI governance programme — stakeholder mapping, policy foundations, and first-step frameworks. Practical, accessible, and jargon-free.
Knowledge Hub
A sample of the practical frameworks, guides, and tools we develop for our clients. One is available free — the rest are developed as part of an engagement.
Flagship Client Resource
Our flagship governance framework — a practical, end-to-end guide for embedding ethical AI principles across your organisation's strategy, creation, targeting, measurement, and reporting. Delivered and contextualised as part of an engagement. Want to understand what's in it?
These resources give you a sense of what we build with and for our clients. The Beginner's Guide is available free — for everything else, get in touch to talk about an engagement.
Where to start when building an AI governance programme — stakeholder mapping, policy foundations, and first-step frameworks. Practical, accessible, and jargon-free.
An evidence-based examination of how algorithmic bias manifests in paid media, programmatic advertising, and audience targeting — with a practical remediation checklist.
A collaborative workshop tool for evaluating AI marketing projects against ethical criteria — covering transparency, fairness, consent, and societal impact. Includes facilitation notes.
A step-by-step checklist for marketing teams using generative AI tools — covering content labelling, client disclosure obligations, and regulatory compliance under the EU AI Act.
Plain-English analysis of the EU AI Act's phased requirements for marketing and advertising functions — what's already in force, what arrives in August 2026, risk classification, and practical preparation steps for each stage.
A governance model defining human review touchpoints, escalation pathways, and accountability structures for AI-assisted marketing workflows. Adaptable for teams of any size.
Before signing an AI marketing SaaS contract — evaluate vendors against ethical criteria covering data practices, bias testing, transparency, and contractual accountability provisions.
How to develop a consistent, honest approach to disclosing AI assistance in marketing content. Covers regulatory disclosure requirements alongside NRM's own practical style guidance — building audience trust while maintaining creative quality and brand authenticity.
Free Resource
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Client Resource Enquiry
This resource is developed as part of an engagement with Neon Reindeer Marketing. Tell us a little about your organisation and what you're looking to achieve, and we'll be in touch.