Goldman Sachs AI policy: build the tool first
Why do most corporate AI policies change nothing, and what did Goldman Sachs do differently? The position here is that a ban you cannot detect is only a suggestion. Goldman put its GSAI Assistant in front of roughly 46,000 employees by early 2026, ran the model inside its own environment so sensitive data stayed in, then wrote rules that described how the tool already worked. You come away with the sequence to copy: capability first, policy second. The episode covers tiered permission by data sensitivity and human review, why shadow AI disappears when the compliant tool is the easiest one…
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