My Mission
ROI from AI isn't purchased. It's unblocked.
With trillions of dollars invested in AI-driven development, every executive is asking the same question:
Are we even earning a return on investment?
Bad news: You probably aren't. Without intentional changes to your organization's engineering culture, integrating AI into your SDLC has little to no effect on your developers' productivity. It can even hurt their performance.
Good news: You control the outcome. Generating ROI from AI isn't a matter of luck, hope, or waiting out the hype cycle. There are proven ways to drive engineering teams' success in the era of AI-driven development.
I should know; I wrote the book.
As lead author of the world's first empirically-validated model of how organizations succeed with AI, my expertise has been used by the world's top AI providers to drive high-touch digital transformation efforts for strategic enterprise accounts.
This framework has been cited in over 100 international news outlets — including CNN, NPR, and Newsweek — shaping the global conversation on emerging industry standards for AI-driven development.
Success is organizational, not technical.
After years of studying AI adoption in enterprise development teams, I'm convinced success with AI-driven development depends little on choosing one provider or another, mandating company-wide training, or beefing up your test suite — it depends on managing the cultural and policy shifts that AI-driven development demands.
- How leadership communicates expectations,
- How teams develop norms around AI use,
- How career incentives evolve,
- How developers perceive AI's impact on their futures,
These organizational dynamics matter far more than chasing trending models or prompting techniques.
I can guide you through this transition.
I'm on a mission to help engineering organizations succeed in the AI era because I'm deeply concerned by what I see in the market. AI is not a fad; it's a revolution. But we're on the verge of failing to meet the moment.
Economic headlines are dominated by fears of an "AI bubble," and engineering organizations are burning extensive capital on AI-driven development tools without provably generating a cent of ROI.
But that isn't because AI is all hype. It's because AI requires organizations to help their development staff adjust to new ways of working.
Unfortunately, most executives have nowhere to turn for guidance other than their AI providers. This is a strategic error. AI providers are experts in selling technology — not in transforming your organizational culture.
Understanding how your engineering norms, policies, and team dynamics need to evolve requires independent perspective. I can provide that for you.