Perspectives & Insights
Thinking on technology leadership, AI, mainframe modernization, PE-backed transformation, and the ideas that shape how I work.
If you don't have measurable ROI from AI today, you are behind. Not conceptually — competitively. A ground-level view of where AI actually works, where it fails, and how to close the gap.
What 20+ years of hiring software engineers — from fresh college graduates to industry veterans — taught me about the team that actually wins.
AI is no longer optional — any organization that doesn't develop real competence with it will be outcompeted. But adopting AI without a clear business objective isn't innovation. It's theater. A look at what responsible adoption actually means in practice, and the five disciplines that separate the organizations getting it right from the ones learning expensive lessons.
More frequently than expected, someone declares the mainframe dead. They've been wrong every time — and with enterprise AI reshaping how software gets built and operated, the conversation is shifting again. Not toward replacing the mainframe, but toward something far more interesting: making it smarter.
The most dangerous phrase in business is: "We've always done it this way." Real transformation begins the moment you're willing to question everything—including the assumptions baked into how your technology organization is structured, what it builds, and why.