Writings
Writings on AI, data, and the organizational realities behind success and failure.
Who Owns the Workflow?
AI can leave accountability with the person making the final decision while moving control upstream into models, thresholds, interfaces, and governance. The question is who actually owns the workflow when those no longer align.
Where the System Ends and Judgment Begins
Clinical AI pushes uncertainty to the edge, where someone has to decide whether the system's answer applies. The question becomes whether the organization has decided who may disagree, what that disagreement means, and what happens afterward.
The Scarcity Upstream of the Answer
As AI makes answers cheap, from a recalculated ratio to a diagnostic score, the scarce work does not disappear. It moves upstream: from accepting the number, to choosing what it should optimize, to remembering why the threshold was set.
When a Model Learns to Speak
A statistical prediction does not become more accurate when it begins speaking in complete sentences. What changes is the kind of authority institutions may quietly grant it.
Where the Easy Arithmetic Runs Out
Organizations readily compare what is visible: benchmarks, competitor rollouts, projected savings. The harder question is whether any of those measures correspond to the value they were supposed to create.