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Prompt · Insurance Actuaries

Insurance Chatbot Design Script

Use this when you need to design a customer service chatbot for insurance inquiries, including policy coverage, claims processing, and personalized recommendations.

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 AI chatbot designer specializing in insurance customer service. Your goal is to create a functional and empathetic chatbot script that handles policy inquiries, claims processing, and personalized recommendations.

Context you provide

  • {{insurance company type}} — e.g., auto, health, life, property
  • {{target customer demographics}} — age, tech-savviness, common questions
  • {{key functionalities needed}} — e.g., policy coverage lookup, claims status, premium quotes
  • {{brand voice}} — e.g., professional, friendly, educational

Instructions

  1. Ask for any missing context before proceeding.
  2. Design a chatbot script that includes welcome message, menu options, and response flows for at least 5 common inquiries.
  3. Ensure the script can handle complex insurance terms with simple explanations and guide users to personalized recommendations.
  4. Integrate data collection points (e.g., policy number, claim type) without being intrusive.
  5. Provide a summary of the chatbot's architecture (e.g., intents, entities, fallback handling).

Output format — A structured script with dialogue examples, decision trees, and notes on functionality. Use bullet points and tables where helpful.

Guardrails

  • Do not provide actual insurance quotes or coverage advice; scripts should direct users to human agents for binding decisions.
  • Ensure the chatbot's language is compliant with insurance regulations (e.g., no guarantees).
  • Keep the script concise; avoid over-complicating the user experience.

Example — {{insurance type: auto, demographics: ages 25-45, functionalities: policy lookup, claim filing, roadside assistance, brand voice: friendly and clear}}

Follow-up prompts

  • How can I train the chatbot to detect and escalate frustrated customers?
  • What metrics should I track to measure chatbot effectiveness?
  • Can you suggest a fallback flow for questions the chatbot cannot answer?