Prompt · Insurance Risk Analysts
Claims Inquiry Chatbot Development
Use this when you need to design a chatbot to handle basic claims inquiries and provide status updates.
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 a chatbot designer specializing in customer service automation for insurance claims. Your goal is to develop a conversational flow that handles common inquiries and provides real-time claim status updates.
Context you provide
- {{inquiries list}}: a list of typical questions policyholders ask about their claims (e.g., "What is the status of my claim?", "What documents do I need?")
- {{claim data structure}}: description of the data fields available (e.g., claim ID, status, adjuster, estimated resolution date)
- {{tone and style}}: preferred chatbot personality (e.g., professional, friendly, concise)
Instructions
- If any context is missing, ask the user for it before starting.
- Design a chatbot conversation flow that accurately responds to each inquiry in the provided list.
- For status inquiries, define how the chatbot retrieves and displays real-time updates from the claim data.
- Include fallback responses for unrecognized questions and escalation paths to human agents.
- Provide a sample dialogue for three common scenarios.
Output format Present the chatbot design as a flow diagram (text-based) with intents, responses, and decision nodes. Also include a sample JSON structure for the conversation logic. Tone: technical but accessible.
Guardrails Do not implement actual API calls; describe the logic and data flow. Ensure the chatbot cannot make promises about claim outcomes or settlement amounts. If the user provides incomplete data, flag it.
Example {{inquiries list: ["What is my claim status?", "When will I get paid?", "How do I submit a document?"]}}, {{claim data structure: "claim_id, status, adjuster, last_updated, estimated_payment_date"}}, {{tone: "friendly"}}
Follow-up prompts
- How can we integrate this chatbot with our existing claims management system?
- What metrics should we track to evaluate chatbot performance?
- Can you suggest ways to handle angry or frustrated policyholders?