Frameworks
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The eight traps of AI coding

AI coding tools are creating a new category of engineering risk. Here's what I'm seeing.

What "value" is AI delivering and how to prove it

Not 'productivity' or 'efficiency.' Actual, measurable business value.

The AI-Native Application Model: Six Core Principles

The biggest change in enterprise software isn't AI itself.

The PE-exit diligence framework

Tech diligence isn't just about architecture anymore. Here's what buyers actually spend their time on.

The four levels of AI adoption

If your honest answer involves summarizing articles, drafting emails, or asking questions you used to Google, you're at Level 1 or 2. Useful, but not where the real leverage is.

The CTO’s guide for AI due diligence

PE firms built empires on calculated risk. Right now, many of them are hesitant to buy because they can't calculate the AI risk.

Enterprise AI Adoption Framework

After 6 years of leading AI-driven Digital Transformation, here's the framework I used to guide adoption. It’s been tested in practice, I hope it helps other leaders on their AI journey.

The 3-Phase AI Governance Roadmap

This is the framework I used to present AI risk and governance model.