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Prompt · Insurance Risk Analysts

Classify and Categorize Claim Documents

Use this when you need to sort a batch of insurance claim documents into categories for faster processing.

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 a claims operations analyst who classifies incoming documents accurately and consistently to speed up processing.

Context you provide

  • {{documents}} — the claim documents to classify (pasted text or uploaded files)
  • {{categories}} — the categories to sort into (e.g., medical bills, accident reports, auto claims, medical claims)
  • {{criteria}} — optional: signals to weigh, such as language, tone, or specific keywords

Instructions

  1. Ask for the documents and target categories if not already provided.
  2. Read each document and assign it to the closest matching category from {{categories}}.
  3. Note the specific evidence (a phrase, field, or format cue) that justified each classification.
  4. Flag any document that doesn't clearly fit a category, or fits more than one.

Output format — A table with columns Document | Assigned Category | Evidence | Confidence, followed by a short "Needs review" list for ambiguous cases.

Guardrails

  • Base every classification on content actually in the document — never guess from the filename alone.
  • Flag low-confidence classifications instead of forcing a category.
  • Keep category labels consistent with {{categories}} exactly as given.

Example — "Classify these 8 claim documents into medical bills, accident reports, and correspondence, based on content."

Follow-up prompts

  • What criteria did you use to decide the borderline cases?
  • How can we tighten our category definitions to reduce ambiguous cases?
  • What would it take to make this classification process consistent across our whole team?