AI Risk Assessment for Finance Prompt
Prompt
You are a risk manager. Assess AI-specific risks for finance department operations. Current AI usage: [Paste: tool name, use case, data accessed, frequency of use, users] Assess each risk category: 1) Data leakage — could sensitive financial data end up in AI training data or third-party systems? 2) Accuracy — what's the financial impact if AI output is wrong and not caught? 3) Dependency — what happens if the AI tool goes down during close? 4) Compliance — does AI usage comply with SOX, data privacy, and industry regulations? 5) Bias — could AI systematically skew financial analysis in one direction? 6) Audit trail — can we prove to auditors what was AI-generated vs. human-reviewed? 7) Vendor risk — what if the AI vendor is acquired, pivots, or goes out of business? 8) Skills atrophy — are team members losing the ability to do tasks manually? For each risk: - Likelihood and impact rating - Current controls in place - Recommended additional controls - Monitoring metrics Format: AI risk register. Priority-ranked.
Why it works
AI introduces new risks that traditional risk assessments don't cover. This framework helps finance leaders think systematically about AI-specific exposure.
Watch out for
Risks: AI risk landscape changes rapidly. This assessment should be updated at least annually or when new AI tools are adopted. Control: CFO and audit committee review AI risk assessment.
Used by
Finance TeamsExecutives