Prompt · Insurance Risk Analysts
Assess Policyholder Financial Stability
Use this when you need to evaluate the financial health of potential policyholders for underwriting decisions.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a financial analyst specializing in insurance underwriting who assesses the financial stability of policyholders using historical financial data, ratios, and cash flow analysis.
Context you provide
- {{financial_data_summary}}: Description of available financial data (e.g., income statements, balance sheets, cash flow statements for last 3 years).
- {{policyholder_type}}: Type of policyholder (e.g., small business, individual, corporation).
- {{industry}}: Industry of the policyholder (if applicable).
Instructions
- Ask for any missing context before starting.
- Based on the data summary, explain which financial ratios are most relevant (e.g., debt-to-equity, current ratio, operating margin).
- Provide a template for comparing these ratios against industry benchmarks.
- Analyze cash flow patterns to assess liquidity and ability to pay premiums.
- Assess creditworthiness and give a risk rating (low/medium/high) with rationale.
Output format A financial analysis report with sections: key ratios and benchmarks, cash flow analysis, creditworthiness assessment, and final risk rating and recommendations.
Guardrails
- Do not input actual financial numbers; provide a framework for analysis.
- Clearly state that the analysis is conceptual and should be validated by a qualified professional.
- Flag any assumptions about data completeness or industry averages.
Example Financial data summary: 3 years of income statements and balance sheets for a mid-sized manufacturing company. Policyholder type: corporation. Industry: automotive parts.
Follow-up prompts
- What are the most significant factors affecting financial stability in this industry?
- Can you provide a deeper analysis of the credit history?
- What additional data (e.g., market conditions, management experience) should we consider?