I’ve spent most of my career working at the intersection of product leadership, organizational change, and emerging technology. Across different roles, companies, and industries, my focus has stayed remarkably consistent:

Helping organizations turn complex technology into something that actually works in the real world.

That means fewer grand theories and more hard questions:

  • What problem are we really trying to solve?
  • Who does this change affect day to day?
  • What needs to shift in decision-making, incentives, or structure for this to stick?

Experience before opinions

My background combines hands-on product leadership with nearly eight years in top-tier consulting. I’ve built and scaled SaaS products, led international product teams, and advised senior leaders in large, regulated organizations.

What this gives me is not just experience, but pattern recognition.

I’ve seen what works, what fails quietly, and what fails loudly. I’ve watched organizations experiment endlessly without impact, and others move carefully but deliberately toward real adoption and value.

That perspective shapes everything I write and work on here.

AI as a means, not a goal

I’ve worked at the bleeding edge of technology throughout my career, including AI, but never as an end in itself.

AI is powerful. It expands what’s possible.

But it only delivers value when it’s grounded in:

  • real problems
  • real roles
  • and real organizational constraints

Much of my recent work has focused on helping organizations move from experimentation to adoption, translating AI capabilities into measurable business and customer outcomes. Not by pushing tools, but by aligning strategy, operating models, and people.

How I work

A constant in my work has been working closely with people. Not just leadership teams, but the roles where work actually happens.

That’s where friction shows up.

That’s where opportunities hide.

That’s where change either takes root or dies.

I’m at my best in environments where clarity, judgment, and execution discipline matter as much as vision, and where technology is treated as an amplifier of human capability, not a substitute for it.

Why this site exists

This site is where I’m capturing and refining my thinking on AI, product, and organizational behavior as these ideas evolve.

  • Some of it will stay rough.
  • Some of it will turn into frameworks.
  • Some of it will eventually become something more structured.

All of it is grounded in practice, not theory.

If you’re interested in how organizations can adopt AI thoughtfully, pragmatically, and sustainably, you’re in the right place.