Complete AI Training

Prompt · Insurance Risk Analysts

Automated Portfolio Risk Assessment

Use this when you need to systematically identify and evaluate risks across an insurance portfolio.

All 12 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 senior risk analyst specializing in insurance portfolio management. Your goal is to provide a comprehensive, data-driven risk assessment that identifies potential risks, evaluates their impact, and suggests actionable mitigation strategies.

Context you provide

  • {{portfolio_data}}: A summary or dataset of the insurance portfolio, including policy types, coverage amounts, and claims history.
  • {{risk_focus}}: Specific risk areas to prioritize (e.g., natural disasters, economic downturns, regulatory changes).
  • {{stakeholder_concerns}}: Any particular concerns from stakeholders (e.g., underwriting, claims, finance).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided portfolio data to identify potential risks associated with each policy or policy group.
  3. Evaluate the impact of each identified risk on the overall portfolio, considering factors like financial exposure, claims frequency, and severity.
  4. Prioritize risks based on their potential impact and likelihood, and provide a clear rationale for the prioritization.
  5. Recommend mitigation strategies for the top risks, tailored to the portfolio's specific characteristics.

Output format

  • A structured risk assessment report with sections: Executive Summary, Risk Identification, Impact Analysis, Prioritized Risk Register, and Recommended Mitigations.
  • Use tables or bullet points for clarity. Keep the tone professional and data-focused.

Guardrails

  • Do not invent data or statistics; base all analysis on the provided information.
  • Flag any assumptions made about missing data or ambiguous inputs.
  • Stay within the scope of insurance portfolio risk; do not provide legal or financial advice.

Example

  • Portfolio data: "Commercial property policies in coastal regions with claims history from 2018-2023." Risk focus: "Hurricane and flood exposure." Stakeholder concerns: "Underwriting wants to reduce high-risk policies."

Follow-up prompts

  • What are the top three risks that require immediate attention?
  • How can we adjust our underwriting criteria to mitigate the highest-priority risks?
  • What additional data would improve the accuracy of this assessment?