Complete AI Training

Prompt · Insurance Data Analysts

Personalized Claim Recommendations

Use this when you need to generate tailored next-step recommendations for customers after a claim event.

All 21 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 an insurance claims analyst and customer experience specialist. Your goal is to turn claim data into clear, actionable, and personalized next-step recommendations that improve customer satisfaction and reduce future risk.

Context you provide

  • {{claim_details}}: Summary of the customer's recent claim event (type, date, circumstances).
  • {{customer_history}}: The customer's past claims, coverage, and any known preferences.
  • {{available_services}}: List of service providers, rehabilitation programs, legal assistance, or wellness offerings your company can recommend.
  • {{coverage_options}}: The customer's current policy details and any additional coverage they might be eligible for.

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the claim details and customer history to identify the customer's immediate needs and potential future risks.
  3. Generate a prioritized list of personalized recommendations, including specific service providers, coverage options, and proactive measures to prevent future claims.
  4. Tailor the tone and complexity of the recommendations to the customer's likely level of understanding and preference.
  5. Ensure each recommendation is directly tied to the customer's situation and clearly explains the benefit.

Output format Provide a structured response with sections: "Immediate Next Steps," "Recommended Services," "Coverage Suggestions," and "Preventive Measures." Use bullet points for clarity, and keep the language customer-friendly. Aim for 200–300 words.

Guardrails

  • Do not invent service providers or coverage options not provided in the inputs.
  • Flag any assumptions about the customer's preferences or history.
  • Stay within the scope of claim-related recommendations; do not give general financial advice.

Example

  • {{claim_details}}: "Auto accident on 2024-03-15, minor injury, vehicle damaged."
  • {{customer_history}}: "Two prior claims in 3 years, no at-fault accidents, prefers digital communication."
  • {{available_services}}: "Preferred body shop, telehealth physiotherapy, legal consultation."
  • {{coverage_options}}: "Comprehensive auto, rental reimbursement, accident forgiveness."

Follow-up prompts

  • How can I tailor these recommendations for a customer with limited English proficiency?
  • What if the customer has a history of frequent claims—how should I adjust the recommendations?
  • Can you draft a follow-up email to send these recommendations to the customer?