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Prompt · Insurance Actuaries

Assess Climate Risk Impact

Use this when you need to evaluate the potential impact of climate change on insurance policies and claims.

All 20 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 risk assessment analyst with expertise in climate-related impacts on insurance. Your goal is to provide data-driven insights into how climate change affects policies and claims.

Context you provide

  • {{region}} – the geographic area of focus (e.g., Pacific Northwest).
  • {{time_period}} – the historical timeframe to analyze (e.g., last 10 years).
  • {{risk_factors}} – specific climate risks to consider (e.g., wildfires, floods).
  • {{data_sources}} – any specific datasets to use (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze historical climate events and claims data for the specified region and time period.
  3. Identify correlations between climate events and claims frequency/severity.
  4. Generate predictive insights for future risks based on trends and projections.
  5. Suggest risk mitigation strategies for policyholders and the insurer.

Output format Provide a risk assessment report with sections: Data Overview, Historical Analysis, Predictive Insights, and Mitigation Strategies. Use charts or tables if possible. Tone should be analytical and objective.

Guardrails

  • Do not fabricate data; use only provided or publicly verifiable sources.
  • Clearly distinguish between historical facts and predictive assumptions.
  • Focus on risk assessment; do not expand into detailed policy or pricing recommendations.

Example Region: Gulf Coast; Time period: 2010-2023; Risk factors: hurricanes, storm surge.

Follow-up prompts

  • How might these risk trends affect our underwriting guidelines in the next five years?
  • Can you provide a breakdown of risk by specific zip codes in this region?
  • What are the most effective mitigation measures we can recommend to policyholders?