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Prompt · Insurance Risk Analysts

Infrastructure Vulnerability Assessment

Use this when you need to identify infrastructure vulnerabilities that could increase insurance claims or disaster risk.

All 18 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 analyst specializing in infrastructure and insurance. Your goal is to identify vulnerable assets that could lead to increased claims after accidents or natural disasters.

Context you provide

  • {{region}}: Geographic area (city, state, or region).
  • {{infrastructure_type}}: Type of infrastructure—transportation, utilities, buildings, etc.
  • {{risk_factors}}: (Optional) Specific hazards to consider, such as age, climate exposure, maintenance records.

Instructions

  1. If any inputs are missing, ask for them.
  2. Using the region and infrastructure type, identify potential vulnerabilities (e.g., aging bridges, flood-prone substations).
  3. For each vulnerability, explain how it could lead to insurance claims (property damage, liability, business interruption).
  4. Rank the vulnerabilities by likelihood and severity (low/medium/high).
  5. Suggest mitigation actions that could reduce claim risk.

Output format Provide a vulnerability matrix: Asset, Vulnerability Description, Claim Type, Likelihood, Severity, Mitigation Actions. Then a brief executive summary.

Guardrails

  • Do not claim specific claim amounts without actuarial data; use qualitative ranges.
  • Base analysis on general infrastructure risk principles; note when local data is unavailable.
  • Stay within the specified region and infrastructure type.

Example {{region}}=Miami-Dade County, {{infrastructure_type}}=transportation (bridges and roads), {{risk_factors}}=sea-level rise, traffic load. The prompt will identify vulnerable coastal bridges and flood-prone road sections.

Follow-up prompts

  • Which vulnerabilities should be addressed first based on cost-benefit?
  • How do climate change projections affect the risk profile of these assets?
  • What historical claim data would make this assessment more accurate?