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The Executive Guide To AI Risks: 10 Real World Lessons To Prevent Million Dollar Failures
Learn from the million-dollar mistakes of Zillow, OpenAI, HMRC, McDonald's, and 6 other companies. 50 pages of governance insights extracted specifically for decision-makers who need clarity fast.
This isn't another whitepaper full of abstract frameworks and buzzwords.
This is a practical guide built from real-world failures and lessons curated specifically for executives and senior leaders who need to understand AI governance risks quickly and make informed decisions.
Inside, you'll discover:
✓ 10 detailed case studies from companies like Zillow, OpenAI, HMRC, and McDonald's (showing exactly what went wrong and why)
✓ The governance gaps that led to multi-million dollar losses, regulatory scrutiny, and reputational damage
✓ Specific lessons extracted from each incident so you can identify similar risks in your own organisation
✓ A clear framework for understanding where your organisation is most exposed
✓ Actionable insights you can use immediately (whether you're building an AI governance program from scratch or strengthening an existing one)
What Makes This Different?
These Stories Exist, But Not Like This
Yes, you could find articles about these companies. You could piece together what happened from news reports and regulatory filings.
But I've done the hard work for you.
I've analysed hundreds of sources, extracted the governance lessons that matter, and organised them into a format designed for busy executives who need to get up to speed fast.
Each case study includes:
Incident overview: What happened and when
Governance gap analysis: The specific failures that allowed it to happen
Regulatory and business implications: What it cost them
Prevention framework: How to avoid the same mistakes
Who This Is For
This guide is designed for:
C-suite executives who need to understand AI risks at a strategic level
Board members preparing for governance discussions
Risk and compliance leaders building AI oversight frameworks
Legal and privacy professionals advising on AI implementation
Anyone responsible for making or influencing AI-related decisions in their organization
If you're asking "What could go wrong with our AI initiatives?" or "How do we govern this properly?", this guide is for you.
What You'll Be Able to Do After Reading This
Understand your exposure in hours, not months of independent research
Brief your board with confidence using real-world examples that illustrate key risks
Ask better questions of your AI vendors, data science teams, and technology partners
Identify governance gaps in your own organization before they become costly failures
Build or strengthen your AI governance program with lessons from companies that learned the hard way
The Investment
$197
Compare that to:
Weeks of your time researching: Priceless
The cost of a governance failure: Millions
Frequently Asked Questions
Q: I'm not technical. Will I understand this?
A: Absolutely. This guide is written for executives and decision-makers, not data scientists. No technical jargon, just clear explanations of what happened and why it matters.
Q: Are these just summaries of news articles?
A: No. While the incidents are publicly known, I've done the analysis work to extract the governance lessons and organise them into actionable frameworks. This is synthesis and insight, not aggregation.
Q: How is this different from free content online?
A: Free content gives you pieces of the puzzle. This guide gives you the complete picture: curated, analysed, and structured specifically for governance decision-making. It saves you weeks of research and connects dots you wouldn't see from individual articles.
Q: Is this relevant for my industry?
A: Yes. The governance principles apply across sectors. These case studies show universal patterns of failure that transcend industry boundaries.
Q: What if my organization hasn't started using AI yet?
A: Even better. This guide helps you avoid costly mistakes before you make them. It's much easier (and cheaper) to build good governance from the start than to fix problems later.
Don't Learn These Lessons the Hard Way
Zillow, OpenAI, HMRC, McDonald's (and six other companies) learned about AI governance through expensive, public failures.
You don't have to.
Get the insights. Understand the risks. Make better decisions.
Learn from the million-dollar mistakes of Zillow, OpenAI, HMRC, McDonald's, and 6 other companies. 50 pages of governance insights extracted specifically for decision-makers who need clarity fast.
This isn't another whitepaper full of abstract frameworks and buzzwords.
This is a practical guide built from real-world failures and lessons curated specifically for executives and senior leaders who need to understand AI governance risks quickly and make informed decisions.
Inside, you'll discover:
✓ 10 detailed case studies from companies like Zillow, OpenAI, HMRC, and McDonald's (showing exactly what went wrong and why)
✓ The governance gaps that led to multi-million dollar losses, regulatory scrutiny, and reputational damage
✓ Specific lessons extracted from each incident so you can identify similar risks in your own organisation
✓ A clear framework for understanding where your organisation is most exposed
✓ Actionable insights you can use immediately (whether you're building an AI governance program from scratch or strengthening an existing one)
What Makes This Different?
These Stories Exist, But Not Like This
Yes, you could find articles about these companies. You could piece together what happened from news reports and regulatory filings.
But I've done the hard work for you.
I've analysed hundreds of sources, extracted the governance lessons that matter, and organised them into a format designed for busy executives who need to get up to speed fast.
Each case study includes:
Incident overview: What happened and when
Governance gap analysis: The specific failures that allowed it to happen
Regulatory and business implications: What it cost them
Prevention framework: How to avoid the same mistakes
Who This Is For
This guide is designed for:
C-suite executives who need to understand AI risks at a strategic level
Board members preparing for governance discussions
Risk and compliance leaders building AI oversight frameworks
Legal and privacy professionals advising on AI implementation
Anyone responsible for making or influencing AI-related decisions in their organization
If you're asking "What could go wrong with our AI initiatives?" or "How do we govern this properly?", this guide is for you.
What You'll Be Able to Do After Reading This
Understand your exposure in hours, not months of independent research
Brief your board with confidence using real-world examples that illustrate key risks
Ask better questions of your AI vendors, data science teams, and technology partners
Identify governance gaps in your own organization before they become costly failures
Build or strengthen your AI governance program with lessons from companies that learned the hard way
The Investment
$197
Compare that to:
Weeks of your time researching: Priceless
The cost of a governance failure: Millions
Frequently Asked Questions
Q: I'm not technical. Will I understand this?
A: Absolutely. This guide is written for executives and decision-makers, not data scientists. No technical jargon, just clear explanations of what happened and why it matters.
Q: Are these just summaries of news articles?
A: No. While the incidents are publicly known, I've done the analysis work to extract the governance lessons and organise them into actionable frameworks. This is synthesis and insight, not aggregation.
Q: How is this different from free content online?
A: Free content gives you pieces of the puzzle. This guide gives you the complete picture: curated, analysed, and structured specifically for governance decision-making. It saves you weeks of research and connects dots you wouldn't see from individual articles.
Q: Is this relevant for my industry?
A: Yes. The governance principles apply across sectors. These case studies show universal patterns of failure that transcend industry boundaries.
Q: What if my organization hasn't started using AI yet?
A: Even better. This guide helps you avoid costly mistakes before you make them. It's much easier (and cheaper) to build good governance from the start than to fix problems later.
Don't Learn These Lessons the Hard Way
Zillow, OpenAI, HMRC, McDonald's (and six other companies) learned about AI governance through expensive, public failures.
You don't have to.
Get the insights. Understand the risks. Make better decisions.