Deployment Evaluator

Gap-closing, or gap-widening?

AI is not gap-neutral. Absent the right preconditions it concentrates advantage where capacity already exists — so the same tool can extend rural care or quietly hollow it out. Score a specific deployment across three forms of leverage and three preconditions, and read where the needle lands.

Knife-edge score 0 / ±9

Everything sits at "partial" — the honest default. Score the cells below to move the needle.

Widens the gapCloses the gap

The grid

Rows: what the AI does  ·  Columns: what must be true to capture it

Connectivity & capital

Can this site actually adopt it at all?

Governance capacity

Governed, or just installed?

Accountability

Who holds the risk when it fails?

This is the payer's lever, not yours.

Administrative automation with no accountability structure is the denials-engine pattern — the Lokken / Kisting-Leung fact set. A deployment scored this way doesn't just fail to close the gap; it actively widens it, because the contesting party is the one with the fewest alternatives.

The leverage isn't in the model — it's in the governance and infrastructure layer that decides who the model serves.

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