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The Composable Intelligence Stack

A working model, one CTO to another: how to build enterprise AI layer by layer, and how to buy or build each piece.

The Enterprise AI Adoption Framework

Eight capabilities. One team. One score that counts. A practitioner's framework for the eight capability areas that decide whether AI ever reaches your P&L, with the tools to run it on your own organization.

Enterprise AI Economics: Six Shifts Reshaping Technology Strategy

A technology leader's guide to the new unit economics of AI - for CIOs, CTOs, CFOs, boards, and PE operating partners.

Workflow mapping with JAIT: a step-by-step playbook

Most companies are applying AI to individual tasks while leaving the structure of work untouched. That's why it feels like everyone's moving faster but nothing's actually getting easier.

The build-vs-buy spectrum is dead. Here are the five postures that replaced it

The SaaSpocalypse wiped $2T off enterprise software valuations in Q1. Every board is asking the same question: 'With AI coding this good, why are we still buying software?'

The visual template to present AI opportunity

This is the visual template I used to present our AI Opportunity Roadmap to the Board a few years ago, and the feedback was fantastic.

The eight traps of AI coding

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

The real logic behind how AI changes work

The “AI and jobs” conversation has produced endless anxiety, plenty of uncertainty, and almost no clarity. Especially on the question that matters most: how do you know if your role is exposed?

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.

AI value comes from rewiring workflows, not adopting tools

AI is making people 40% more productive.

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.

Stop bolting AI onto workflows that were never designed for it

If you are wondering why AI is not delivering real, measurable impact, the disconnect is in redesigning how work actually moves through your company.

Your AI strategy could be destroying your valuation

When we went through due diligence for our PE exit, I expected the usual questions: Revenue growth. Customer retention. Tech debt.

You need a recursive 90-day plan

To survive the next three years, you need a recursive 90-day plan. Not just the first 90 days, but every 90 days.

The 3-Phase AI Governance Roadmap

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

AI as Brain, RPA as Hand

Especially in PE circles. Mention AI in a board meeting, and the first question is almost always: 'How much savings can we realize?'

What’s the most important thing a CTO or CIO actually does?

Justin, an early-career AI engineer, asked me this yesterday. My answer was simple:

AI fluency is useless if it doesn’t make you more competent

AI Fluency is useless if it doesn’t make you more competent.

My AI tool stack (less, but better)

As promised in my last post, this is my tool recommendation. I'm sharing the lesson I learnt and keep reminding myself:

Unlocking AI’s true value: strategy beyond productivity

Companies are pouring money into AI. But for many, the promised return on investment never shows up. The usual story: lots of activity, little financial impact.