✏️Prompts

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