What's Our Problem?
AI governance conversations focus on controlling intelligent systems. The deeper challenge is deciding which human capabilities we refuse to let atrophy as intelligence becomes ambient.
Read the essayTechnology leader · Builder · Writer
I'm Patrick Phillips. I lead technology, build working systems, and write about the messy, consequential stretch between a promising idea and the way work actually changes.

Based in Utah. Curious about the systems, choices, and people shaping the next era of work.
I write about
AI in the real enterprise
I keep coming back to
Leadership, governance, and useful systems
My standard
What works, what breaks, and what we learn
Recent writing
Essays, field notes, and arguments from the work itself—not a content calendar.
Welcome to 2026, the year enterprise AI grows up and starts delivering. If 2023 through 2025 were the years of experimentation, wonder, and 'what if,' then 2026 is the year we answer the question: 'what now?'
Read the essayAI has firmly embedded itself in the daily operations of enterprises today. For countless leaders, however, this integration presents a perplexing contradiction. Adoption rates are surging, yet the tangible impact on enterprise value remains elusive.
Read the essayWe have officially exited the 'Wild West' era of enterprise AI. The conversation isn't about adoption anymore; it's about value. Governance is not a compliance checklist. It is an operating system.
Read the essayMy attempt at a Strategic Letter to Business Leaders on the Generative AI Revolution 2022 to 2025 and the Agentic Future 2026 to 2028
Read the essayThe AI Catalyst
I publish essays on enterprise AI, agentic systems, technology leadership, and the operating choices that determine whether ambitious ideas become durable change.
Follow the newsletter on LinkedInA little more personal
My career started with process, systems, and the stubborn details that make organizations run. Today I lead technology strategy as a CIO while continuing to build, test, and write.
This site is where those threads meet: experience from large organizations, experiments from my own workbench, and honest questions about where AI is taking us.
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