CFO Brief: 3 Financial Data Governance Steps Before You Deploy AI

AI is moving fast - but deploying it against uncontrolled, unconsolidated financial data creates risks most CFOs aren't accounting for. This one-minute brief covers the three things that need to be in place before AI touches your financial data: role-based access controls at the data layer, a a single query log that captures initiating user, model used, data requested, timestamp, and output, and pre-query consolidation that catches intercompany eliminations and FX adjustments before the model runs.

Datarails FinanceOS is built specifically to govern financial data for AI, so when your model produces a number, you can prove exactly where it came from.

Timestamps:
00:00 Why governance has to come before AI deployment
00:14 Data layer access controls - and why uploading a file to an AI tool is a security problem
00:34 Audit trails: what a real query log looks like and why API logs don't cut it
01:02 Pre-query data consolidation - why AI doesn't validate its inputs, and what happens when you skip intercompany eliminations or FX adjustments
01:30 The right sequencing: governance first, AI second

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