Phil Pierce · AI Executive · Applied AI Leader
I turn AI into decision advantage.
Twenty years leading teams and building AI platforms inside regulated enterprises, at Citi and Merck. I work on where AI creates real value, what deserves the investment, and whether the thing actually holds up once it is running. Inventor on pending patents in AI belief-memory.
Same evidence, a different moment, a different answer. Most systems cannot tell you which one they had when they decided.
Working artifacts
The specification →Four minutes
Architecture check
Fifteen questions about one of your AI systems. Tells you which of the three properties it's actually missing.
Run it →Bring a CSV
Calibration check
Predictions and outcomes in, reliability curve and calibration error out. Checks whether a system is honest about what it doesn't know.
Open it →Writing
All essays →August 2026
6 min
What Did You Know, and When Did You Know It?
Two questions decide whether a system's reasoning can survive scrutiny. Most AI systems are architected in a way that makes both unanswerable, not by accident, but by default.
Read →August 2026
5 min
A Confidence Score Is Not a Reason
0.87 is a summary of an argument. The summary gets stored. The argument, the part that actually explains the call, usually doesn't.
Read →August 2026
6 min
You Can Buy Detection. You Cannot Buy Judgment.
The judgment layer can't be purchased, because the one input it depends on, what a finding actually means inside your organization, never leaves the building.
Read →The list
New essays, occasionally.
Evidence, memory, and machine decisions that have to hold up. No schedule, no filler.
Contact
Working through a hard AI decision? Let's talk.
Enterprise AI, high-consequence systems, defense and national security. I take a small number of these conversations.
phil@philpierce.com