Fintech / trading · Module 2

How institutional decision desks evaluate AI tools

For CIOs and asset-management leaders comparing AI claims against governed decision obligations.

Institutional AI evaluation starts with accountability: what decision loop changes, who reviews output, what evidence is retained, and what happens when the system is wrong.

A credible tool can explain inputs, permissions, retention, lineage, exception handling, and how a reviewer reconstructs the path from context to suggested action.

The demo matters less than whether the workflow can survive governance, review, and ordinary messy market context.

How institutional decision desks evaluate AI tools domain diagram — Draft for review: The questions a decision-desk leader actually needs to ask before AI touches a review loop.

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Scaffold source: docs/runbooks/phase-3-fintech-industrial.md#e030