Prompt lesson · 22 prompts
Underwriting Support prompts for Insurance Risk Analysts
22 ready-to-use prompts from our AI for Insurance Risk Analysts course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Analyze Data for Underwriting Decisions
Use this when you need to support underwriting decisions by analyzing historical claims data, risk factors, and demographic patterns.
Role — You are a risk analysis consultant specializing in insurance. Your goal is to analyze provided data to identify patterns, assess risk factors, and evaluate the effectiveness of past underwriting decisions, thereby supporting future decision-making.
Context you provide
- {{historical_claims_data}}: structured data (e.g., CSV excerpt) or summary statistics (e.g., claim frequency, average severity, loss ratios)
- {{demographic_data}}: relevant demographic information about policyholders (e.g., age, location, occupation)
- {{external_factors}}: any known external factors (e.g., economic trends, weather patterns, regulatory changes)
- {{previous_underwriting_criteria}}: the criteria used in past decisions (optional)
Instructions
- Ask for any missing context before starting.
- Analyze the claims data to identify patterns of high-risk behavior (e.g., frequent claim types, common times, policyholder profiles).
- Assess the impact of external factors on underwriting risk (e.g., correlation between weather events and claims).
- Evaluate the effectiveness of previous underwriting decisions by comparing expected vs. actual loss ratios.
- Provide recommendations for refining underwriting criteria, with supporting data.
- Suggest additional data sources that could improve risk assessments.
Output format
- Executive summary of key findings.
- Detailed analysis with sections: Risk Patterns, External Factor Impact, Underwriting Effectiveness, Recommendations.
- Use tables and bullet points to present data clearly.
- Include a methodology note explaining any assumptions.
Guardrails
- Do not use real personal identifiable information; if provided, anonymize in analysis.
- Base conclusions on the data provided; clearly state when extrapolating.
- Do not make recommendations that violate regulatory requirements.
Example
- {{historical_claims_data}}: auto insurance claims, 2020–2023, 10,000 records with fields: claim date, amount, cause, policyholder age, region | {{demographic_data}}: age groups, regions | {{external_factors}}: increase in severe weather in coastal regions
Open this prompt Analysis · Advanced
Assess Insurance Regulatory Compliance
Use this when you need to analyze insurance regulations, identify compliance risks, and interpret regulatory updates.
Role You are an insurance compliance analyst who helps organizations interpret regulations, detect non‑compliance patterns, and prioritize corrective actions.
Context you provide
- {{Regulatory Framework}}: the specific regulation(s) to analyze (e.g., Solvency II, NAIC guidelines, local insurance law).
- {{Insurance Products}}: the types of policies or claims involved (e.g., life, health, property).
- {{Data Sources}}: historical data or reports you have (e.g., claims data, policy documents, audit findings).
- {{Recent Updates}}: any recent regulatory changes you want reviewed (optional).
Instructions
- Ask for the regulatory framework and products if not provided.
- Interpret the key requirements of the regulation relevant to the products.
- Identify potential regulatory risks in policies, claims, or underwriting processes.
- Analyze historical data (if provided) to find patterns of non‑compliance.
- Summarize recent regulatory updates and their implications.
- Prioritise the most urgent compliance issues.
Output format A compliance report with sections: Regulatory Summary, Risk Inventory (categorized by severity), Historical Patterns (if data provided), Update Impact, and Recommended Actions.
Guardrails
- This is not legal advice; always consult a qualified attorney for final decisions.
- Base analysis only on the regulations and data provided; do not assume additional requirements.
- Flag any data gaps that could affect the risk assessment.
Example
- Regulatory Framework: Solvency II, Insurance Products: life insurance, Data Sources: 2024 quarterly claims, Recent Updates: 2025 capital requirements.
Open this prompt Analysis · Intermediate
Assess Policyholder Financial Stability
Use this when you need to evaluate the financial health of potential policyholders for underwriting decisions.
Open this prompt Analysis · Intermediate
Claims Data Analysis and Support
Use this when you need to analyze insurance claims data to identify patterns, support underwriting, and improve claims processes.
Open this prompt Analysis · Intermediate
Create Underwriting Training Materials
Use this when you need to develop educational content, case studies, or simulations for training underwriting staff on best practices and industry trends.
Open this prompt Creating · Intermediate
Customer Communication for Underwriting
Use this when you need to craft personalized communication scripts or analyze customer interactions to gather underwriting information.
Open this prompt Communication · Beginner
Data Collection and Analysis for Underwriting
Use this when you need to gather and analyze diverse data sources to inform underwriting decisions and identify risk factors.
Open this prompt Analysis · Intermediate
Develop Automated Risk Assessment Algorithms
Use this when you need to design and implement algorithms for automated risk assessment in insurance underwriting, including variable selection and validation.
Open this prompt Coding · Advanced
Develop Risk Model and Forecast Framework
Use this when you need to build a conceptual framework for risk modeling and forecasting insurance claims.
Open this prompt Analysis · Advanced
Develop Underwriting Guidelines for Insurance Products
Use this when you need to create comprehensive underwriting guidelines for a specific insurance product based on industry data and best practices.
Open this prompt Creating · Intermediate
Insurance Product Development Insights from Data
Use this when you need to analyze customer data, market trends, and claims history to support the development of new insurance products.
Open this prompt Analysis · Intermediate
Insurance Risk Assessment Analysis
Use this when you need to evaluate potential risks associated with insurance policies using historical and external data.
Open this prompt Analysis · Intermediate
Market Research for Underwriting
Use this when you need to conduct market research and analysis to support underwriting, including analyzing customer feedback, demographic data, industry reports, and claims data.
Open this prompt Analysis · Intermediate
Optimize Underwriting Process Efficiency
Use this when you want to identify inefficiencies, bottlenecks, and improvement opportunities in an underwriting workflow.
Open this prompt Analysis · Intermediate
Policy Rating and Pricing Model Analysis
Use this when you need to analyze and improve insurance policy rating and pricing using historical data, risk factors, and advanced techniques.
Open this prompt Analysis · Advanced
Policy Review and Underwriting Analysis
Use this when you need to review insurance policy language, endorsements, and exclusions to identify coverage gaps and underwriting risks.
Open this prompt Analysis · Intermediate
Review Insurance Policies for Accuracy and Compliance
Use this when you need to analyze insurance policy language for gaps, ambiguities, or regulatory compliance.
Open this prompt Analysis · Intermediate
Underwriting Compliance Support
Use this when you need to analyze underwriting practices, review documentation, create compliance checklists, and develop monitoring systems.
Open this prompt Planning · Intermediate
Underwriting Customer Support Automation
Use this when you need to design automated customer support systems for underwriting inquiries, including chatbots, knowledge bases, and proactive outreach.
Open this prompt Creating · Advanced
Underwriting Data Analysis and Risk Reporting
Use this when you need to analyze underwriting or claims data and generate a risk assessment report.
Open this prompt Analysis · Intermediate
Underwriting Documentation Automation
Use this when you need to automate the management of underwriting documents—extracting, categorizing, flagging missing items, and summarizing key information.
Open this prompt Automation · Intermediate
Underwriting Guidelines Research and Analysis
Use this when you need to research, compare, and summarise underwriting guidelines from carriers, industry publications, and historical data.
Open this prompt Research · Intermediate