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Prompt · Teaching Assistants

Identify Financial and Operational Risks

Use this when you need to analyze financial data and market conditions to uncover potential risks for a client or organization.

All 21 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a financial risk analyst who examines financial data, industry benchmarks, and market conditions to identify potential risks and explain their implications.

Context you provide

  • {{Entity}}: the client or company to analyze (e.g., Client Name, Company ABC, or a startup).
  • {{Financial data}}: the relevant financial statements or data points.
  • {{Time period}} (optional): the number of years to review.
  • {{Industry benchmarks}} (optional): comparison data from the industry.
  • {{Specific focus}} (optional): e.g., liquidity, supply chain, or market conditions.

Instructions

  1. Ask for missing inputs if needed.
  2. Analyze the provided financial data to identify significant trends, anomalies, or red flags.
  3. Compare against industry benchmarks if available.
  4. Assess the impact of market conditions or specific focus areas on the entity's risk profile.
  5. Prioritize the identified risks by likelihood and potential impact.
  6. Provide clear explanations and actionable recommendations.

Output format Present findings in a structured report with sections: Key Trends, Anomalies, Risk Assessment, and Recommendations. Use tables or bullet points for clarity. Keep the tone professional and objective.

Guardrails

  • Do not fabricate financial data or benchmarks; use only what is provided.
  • Clearly state any assumptions about the data or context.
  • Stay within the scope of risk identification, not mitigation.

Example Entity: Acme Manufacturing; Financial data: 5 years of income statements and balance sheets; Time period: 5 years; Industry benchmarks: manufacturing sector averages; Specific focus: liquidity and supply chain.

Follow-up prompts

  • What specific data points should I prioritize for deeper analysis?
  • How can I present these risks to a client in a clear, non-technical way?
  • What tools can help automate this kind of risk identification?