Prepare insurance claim files for AI
A claim file can connect a person, an event, property, payment details and supporting evidence. Removing a policyholder name does not sever those relationships. Start with a narrow administrative question and share only the approved information needed to answer it.
For Claims operations and insurance technology teams
Synthetic example: an evidence checklist
A fictional claims coordinator wants a checklist for documents received and outstanding. The invented scenario is not a real claim, customer outcome, assessment of liability or recommendation to accept or deny cover.
What you are working with
- A PDF claim form containing identity, policy and event details.
- A DOCX chronology with third-party names and witness statements.
- Attachments such as invoices, images and specialist reports.
A safer approach
- Prepare an invented document inventory with type, received date and status.
- Use consistent Claim A and Party B labels only where relationships matter.
- Exclude detailed narratives and attachments not needed to review the checklist.
Expected outcome: The proposed output is a clearer administrative checklist with unresolved items preserved. An authorized claims reviewer confirms completeness and handles the claim decision separately.
Work through the procedure
Define the administrative job
Distinguish checklist preparation, chronology formatting and plain-language rewriting from a claim decision. Identify the fields required for the chosen task. If an answer depends on medical, legal or policy interpretation, return that question to appropriately authorized reviewers rather than expanding the upload.
Create a minimal claim extract
Preserve event sequence and document relationships with consistent labels. Remove unnecessary policy numbers, contact details, payment information and exact locations. Treat third-party information with the same care as claimant information; witnesses and repairers can also appear throughout the package.
Review attachment boundaries
Inventory every attachment before sharing. Images, scanned reports and embedded documents may fall outside the tested preparation route. Provide a reviewed document-type inventory instead of uploading the whole bundle when the task is simply to organize what has been received.
Preserve unresolved evidence
Check that the output does not mark a missing report as received or a disputed statement as established. Compare dates and labels against the approved extract. Keep the authoritative claim file and decisions in the claims system, with generated administrative text reviewed before reuse.
What to check before proceeding
1. Purpose separation
- Ready when
- The assistant is organizing supplied administrative facts, not deciding the claim.
- If the check fails
- Narrow the request and route decision questions to the responsible reviewer.
2. Whole-package review
- Ready when
- Every included page or attachment has an approved purpose and inspected content.
- If the check fails
- Exclude unchecked material and use a bounded inventory instead.
3. Uncertainty retained
- Ready when
- Missing, disputed and received evidence remain different states.
- If the check fails
- Correct the checklist before it is used in the claim workflow.
Common mistakes to avoid
- A distinctive incident narrative can identify the claimant even when policy and contact fields are removed.
- A document checklist can look complete while omitting an attachment that was not readable; preserve unknown and unreviewed states.
Evaluate this workflow with Aona
Where Aona can help
Test Aona's configured identifier policies using synthetic claim prompts and DOCX, XLSX or PDF files. Confirm provider-specific handling and browser/native differences for each actual submission route.
What to confirm
Aona does not determine coverage, validate claim evidence or guarantee that scans and mixed attachments are inspected uniformly. Managed policy evaluation includes regional processing, which must fit the approved sharing arrangement.
Managing this document workflow across a team?
Review your AI tool, document format and data-handling requirements. Use a synthetic example to discuss supported controls and the checks your team still needs to perform.