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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- Ask for any missing context before proceeding.
- Design a chatbot script that includes welcome message, menu options, and response flows for at least 5 common inquiries.
- Ensure the script can handle complex insurance terms with simple explanations and guide users to personalized recommendations.
- Integrate data collection points (e.g., policy number, claim type) without being intrusive.
- 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?