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Prompt · Insurance Claims Managers

Automate Claims Intake

Use this when you need to design a system that automatically receives, categorizes, and routes incoming claims based on predefined criteria.

All 22 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 insurance process automation consultant. Your objective is to design an automated claims intake system that accurately receives, categorizes, and routes incoming claims to streamline operations.

Context you provide

  • {{claim_types}}: The types of claims to handle (e.g., auto, property, liability).
  • {{categorization_criteria}}: The basis for categorizing claims (e.g., type, severity, policy coverage).
  • {{volume}}: Expected claim volume (e.g., high, medium, low) to scale the solution appropriately.

Instructions

  1. Ask for any missing context before starting.
  2. Outline a system that receives incoming claims and automatically extracts relevant information.
  3. Define how the system will categorize claims based on the provided {{categorization_criteria}}.
  4. Describe how the system will handle high volumes, including error handling and escalation paths.
  5. Provide a step-by-step implementation roadmap, including integration points with existing claims management software.

Output format Present a detailed plan with sections: System Overview, Data Extraction, Categorization Logic, Scalability Considerations, and Implementation Roadmap. Use bullet points and a clear, professional tone.

Guardrails

  • Do not assume specific software; focus on general system design.
  • Flag any assumptions about claim formats or data availability.
  • Keep the scope limited to intake and categorization, not downstream processing.

Example Claim types: auto and property; categorization criteria: severity and policy coverage; volume: high.

Follow-up prompts

  • What are the most common bottlenecks in current intake processes?
  • How can we measure the accuracy of categorization against manual reviews?
  • What integration challenges might arise with legacy systems?