Is Your AI Inventory Complete? How to Test It
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Summary
Every part of AI governance depends on knowing what AI you have. In this episode of Making AI Adoption Auditable, Seán Murphy explains why the first line's AI inventory is rarely complete, and how compliance, risk and internal audit teams can test it independently rather than taking it on trust.
He covers the six places AI tends to hide — from features vendors switch on inside software you already pay for, to meeting note-takers connected to someone's calendar — then five sources for a completeness test: payables, card spend, connected applications, platform settings and targeted conversations with staff. The episode closes with the three findings that come up most often and how to write them up for your audit or risk committee.
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