Exposing the AI Fraud: My 7-Question Framework That's Saved Companies Millions

I've spent the last 9 months sitting in board rooms watching the same scene play out:

A vendor demos basic automation, calls it "AI," and walks out with a seven-figure contract.

After watching companies burn millions on glorified IF/THEN statements marketed as "artificial intelligence," I built something to stop the bleeding:

The AI BS Detector.

What I'm Releasing Tomorrow

Starting tomorrow, I'm making my entire framework public for the first time:

1. The 7-Question BS Detector Checklist

This simple checklist has identified 37 out of 50 "AI-powered" solutions as complete frauds. One Fortune 500 client canceled a $4.7M implementation after running through these questions for just 15 minutes.

The questions are deliberately simple. They're designed to be asked by non-technical executives who need to cut through the smoke without an engineering degree.

2. The Annotated AI Pitch Deck Translator

I've collected and annotated 14 actual investor pitch decks and sales presentations from "AI companies" (with identifying details removed).

Side-by-side translations show what they're claiming versus what they're actually delivering.

You'll never sit through another AI sales pitch the same way again.

3. The True ROI Calculator

Most "AI ROI calculators" use completely fabricated assumptions about:

• Implementation timelines

• Required headcount

• Data preparation costs

• Ongoing maintenance

My calculator uses actual implementation data from 200+ projects to give you realistic numbers, not fantasy projections.

4. The AI Decision Tree

Not all AI is snake oil. Some applications deliver genuine value.

This decision framework helps you identify the 8-10% of use cases where AI actually makes sense for your business, and when you're better off with simpler solutions.

Why I'm Doing This

I built this framework for my consulting clients who pay significant fees for this analysis. One client saved $3.2M by running a vendor's proposal through this framework.

But I'm tired of watching good companies make bad decisions because they lack the tools to evaluate AI claims.

The bubble is getting worse. The claims are getting bolder. And the disappointment wave that's coming will make the blockchain crash look like a minor correction.

Who Needs This Framework?

• Executives making budget decisions about AI initiatives

• Startup founders building actual, valuable AI applications

• Investors evaluating companies with AI claims

• Product leaders designing AI features

• Corporate strategists developing AI roadmaps

In other words, anyone who can't afford to waste millions on AI theater.

The Real Cost of Getting This Wrong

This isn't just about wasted money.

Companies are restructuring entire departments, changing strategic direction, and making critical business decisions based on AI capabilities that simply don't exist yet.

The competitive advantage they think they're getting is a mirage.

The Framework Drops Tomorrow (For Paid Subscribers Only)

After much consideration, I've decided to release this to paid subscribers only. It's the work of hundreds of hours of analysis and has saved my clients millions.

If you're making any decisions about AI investments, implementations, or strategy, you need these tools.

Subscribe now before the first part drops tomorrow.

Fair Warning

This framework won't make you popular with AI vendors.

The emperor has no clothes. And I'm handing out magnifying glasses.

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