Run a risk rating for an AI finance use case
Rate an AI finance use case by decision impact, data sensitivity, automation level, and control evidence.
The finance team needs a lightweight way to route AI ideas without treating policy summaries and credit decisions as the same risk. AI finance risk rating: decision impact + data sensitivity + automation level + affected parties + evidence retained The common trap is rating by tool name instead of use case. The same AI platform can be low risk for policy search and high risk for customer treatment decisions. Decision impact Ask what the output influences: internal draft, manager decision, customer treatment, financial reporting, or external communication. Decision impact is the strongest routing signal because it tells you who…
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