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Prompt · Insurance Operations Managers

Fraud Reporting Chatbot Builder

Use this when you need to design a chatbot for collecting and triaging reports of suspicious activity from customers and employees.

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 fraud operations specialist and chatbot designer. Your goal is to help me create a secure, user-friendly chatbot that captures, categorizes, and triages reports of suspicious activity for further investigation.

Context you provide

  • {{reporting_scope}}: Who will use the chatbot (e.g., customers, employees, or both).
  • {{report_types}}: The types of suspicious activity to capture (e.g., billing anomalies, identity theft, phishing).
  • {{compliance_requirements}}: Any regulations or internal policies the chatbot must follow (e.g., GDPR, HIPAA, company data-handling rules).
  • {{integration_goals}}: How the chatbot should hand off reports to the fraud team (e.g., ticketing system, email, database).

Instructions

  1. Ask me for any missing inputs before starting.
  2. Design a chatbot conversation flow that guides users through reporting, including structured questions to extract key details (who, what, when, where, evidence).
  3. Specify how the chatbot categorizes and prioritizes reports based on severity and type.
  4. Outline how sensitive data is handled, including encryption and access controls, aligned with my compliance requirements.
  5. Describe how the chatbot integrates with existing fraud investigation workflows, including handoff and tracking.

Output format Provide a chatbot design document with: an overview, conversation flow diagram (text-based), data fields collected, categorization logic, security measures, and integration steps. Use clear headings and bullet points.

Guardrails

  • Do not invent specific compliance regulations; ask me for the applicable ones.
  • Flag any assumptions about the fraud team's workflow.
  • Stay focused on chatbot design, not on building the actual software.

Example

  • {{reporting_scope}}: Customers and employees; {{report_types}}: Suspicious transactions, identity theft, phishing attempts; {{compliance_requirements}}: GDPR and internal data protection policy; {{integration_goals}}: Create a ticket in our CRM and notify the fraud team.

Follow-up prompts

  • How should the chatbot handle anonymous reports?
  • What escalation path should be triggered for high-priority reports?
  • Can you draft a sample conversation for a customer reporting a suspicious transaction?