New Book by Craig McDonogh
How to Embrace AI Without Damaging Your Brand
The practical guide for enterprise marketing leaders who want to move fast with AI - without the legal exposure, ethical landmines, or reputation damage that comes from moving without a plan.
How to Embrace AI
Without Damaging
Your Brand
Ethicore Advisors
Why This Book Exists
Enterprise marketing teams are deploying AI faster than their governance structures can keep up. AI-generated creative, algorithmic targeting, autonomous campaign management, synthetic personas - all of it is live in production, mostly without a documented policy, a bias test, or a vendor accountability framework.
The result isn't hypothetical. Brands are facing FTC enforcement actions over AI-generated reviews. Campaigns are triggering discrimination complaints from AI audience models. CMOs are being blindsided by vendor practices they never thought to ask about.
Guardrails isn't a warning label. It's a practical operating manual - written by someone who's been inside enterprise marketing for 30 years, not someone who studied it from a distance.
Inside the Book
Guardrails is structured around the decisions real marketing teams actually face, not abstract ethical principles. Each section ends with a practical framework you can apply immediately.
Part One
Most teams don't know the full extent of AI in their stack. This section shows you how to build a complete AI inventory, and what to look for once you have one.
Part Two
AI marketing vendors optimise for what they measure. Learn the questions they don't want you to ask, and how to make vendor accountability a contractual requirement.
Part Three
Algorithmic targeting doesn't discriminate intentionally - it discriminates statistically. Here's how to identify bias in audience models before a regulator or a journalist does.
Part Four
From the FTC to the EU AI Act to six active US state laws - a plain-English guide to what's already in force, what's coming, and what your legal team actually needs from marketing.
Part Five
A step-by-step process for building an AI governance framework that marketing teams will actually use, not a policy document that lives in a shared drive and gets ignored.
Part Six
AI incidents happen. This section covers how to respond: what to communicate, what to document, how to remediate, and how to avoid making a bad situation catastrophically worse.
Who It's For
Who need to understand the board-level risk picture without wading through legal briefs.
Who are evaluating, deploying, and renewing AI tools and need a rigorous vendor framework.
Who need a marketing-fluent counterpart to work with, and want a shared vocabulary for AI risk.
Who are deploying AI creative, synthetic personas, or automated personalization at scale.
Free With the Book
Every section of Guardrails comes with a practical worksheet or template you can bring straight into your organization. These will be available free to everyone who pre-orders.
Part One Worksheet
A structured template for mapping every AI tool in your marketing stack - including data inputs, decision outputs, and vendor accountability gaps.
Available on publication →Part Two Worksheet
30 questions to ask before signing or renewing any AI marketing vendor contract. Covers model transparency, data use, bias testing, and contractual protections.
Available on publication →Part Three Worksheet
A step-by-step audit process for identifying demographic and proxy bias in AI-driven audience models, lookalike targeting, and lead scoring systems.
Available on publication →Part Five Worksheet
A ready-to-adapt governance framework template covering policy structure, decision rights, vendor oversight, regulatory mapping, and incident response.
Available on publication →Want the tools now? Several are already available free on the resources page →
Early Praise
"In the AI era, brand, reputation, and governance are no longer side issues to innovation — they’re central to it. GuardrAIls makes that case persuasively, and with rare practicality. Craig McDonogh gives marketers and business leaders a much-needed framework for embracing AI without losing authenticity, accountability, or stakeholder trust."
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The book is available for pre-order on Barnes & Noble. Leave your email below and we'll send you the companion worksheets and tools the moment they're ready.
No spam. One email when the book launches, another when your tools are ready. That's it.