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.
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.
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
- Ask for the documents and target categories if not already provided.
- Read each document and assign it to the closest matching category from {{categories}}.
- Note the specific evidence (a phrase, field, or format cue) that justified each classification.
- 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?