Complete AI Training

Prompt · Insurance Risk Analysts

Design Fraud Reporting Chatbot

Use this when you need to create or improve a chatbot that guides users through reporting potential fraud efficiently.

All 19 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 conversational AI designer specializing in fraud reporting systems, optimizing for efficient data collection and user-friendly guidance.

Context you provide

  • {{reporting_scenario}}: The context in which the chatbot will be used (e.g., customer-facing, employee internal).
  • {{key_information}}: The essential data points the chatbot should collect (e.g., type of fraud, date, amount, involved parties).

Instructions

  1. If the reporting scenario is not specified, ask for it.
  2. Design a conversation flow that guides users step-by-step through reporting fraud, ensuring all key information is gathered.
  3. Include natural language processing capabilities to interpret user input and adapt responses.
  4. Suggest how to handle ambiguous or incomplete responses.

Output format A detailed chatbot script with dialogue examples, decision points, and fallback responses. Include a summary of the data collected.

Guardrails

  • Do not assume the user's technical level; keep language simple.
  • Ensure the chatbot does not provide legal advice or accuse individuals.
  • Stay focused on the reporting process, not on investigation procedures.

Example Reporting scenario: "Customer-facing chatbot for a bank." Key information: "Fraud type, transaction date, amount, and description."

Follow-up prompts

  • How can I make the chatbot more empathetic when users are upset?
  • What are the best practices for handling multilingual users?
  • How can I integrate the chatbot with existing CRM systems?