John Gabrick

Notes

Governance, decision rights, and operating reality

Short, dated notes on clinical AI governance and enterprise adoption. Same text as the LinkedIn originals, kept here first.

A four-quadrant framework labeled Automate, Augment, Assist, and Escalate, showing how much authority an AI output is given.

September 8, 2026

"Should we use AI here" is the wrong question.

The useful one is how much authority the output gets.

Four options. Automate, it acts alone. Augment, it does the work and a person owns the result. Assist, it advises and a human decides. Escalate, it hands off when signals are weak or stakes are high.

None of that is about the model's accuracy. Two organizations can buy the identical tool and sit in completely different risk positions, because they put the human in a different place.

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Two side-by-side panels contrasting a clinician's description of a problem in practice terms with an analyst's description of the same problem in system terms.

September 1, 2026

A clinician and an analyst describe the same problem in two languages.

The clinician says "I can't get through my messages without working nights." The analyst says "it's a routing rule in the messaging module."

Clinicians describe work by role and setting. Technical teams describe it by platform and module. Neither is wrong. Neither is enough alone.

Most failed projects I've seen didn't fail at the build. They failed in the gap between those two sentences. Closing that gap on purpose is most of what governance actually is.

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