/guides/get-complete-claim-files-from-day-one/index.md · 99 lines
---
title: "Get complete claim files from day one"
description: "A four-step playbook to define a complete claim file, extract details from submissions, request missing documents early and route organised files to handlers who make every decision."
url: https://lidvizion.ai/guides/get-complete-claim-files-from-day-one/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Field guides](https://lidvizion.ai/guides/) 4 steps
# Get complete claim files from day one
A four-step playbook to define a complete claim file, extract details from submissions, request missing documents early and route organised files to handlers who make every decision.
For: Claims operations leads at insurers, brokers and managing agents whose handlers spend their first days on a claim chasing paperwork.
Most delays at the start of a claim come from incomplete information, not hard decisions. Extracting details as claims arrive and asking for missing documents straight away gives handlers a complete file sooner. These four steps leave every coverage, liability and payment decision with people and keep access within your privacy and security rules.
## Step 1 — Define a complete file
**Goal:** Know what each claim type needs.
1. List the claim types you handle most.
2. Write the details and documents each type needs.
3. Agree routing rules by claim type, value and complexity.
4. Review the rules with claims, compliance and privacy leads.
**You finish with:** A checklist per claim type and approved routing rules.
## Step 2 — Extract and check
**Goal:** Turn submissions into structured claim data.
1. Extract claimant, policy, incident and document details from each submission.
2. Match each claim to the policy record.
3. Flag missing, unreadable or inconsistent information.
4. Keep a link from every field to its source document.
**You finish with:** Structured claim data with gaps flagged.
## Step 3 — Request and route
**Goal:** Get complete files to the right handler quickly.
1. Draft requests for missing documents for the handler to send.
2. Route organised files by the agreed rules.
3. Flag possible fraud indicators to the appropriate team without acting on them.
4. Keep every coverage and payment decision with handlers.
**You finish with:** Complete, routed claim files.
## Step 4 — Measure and refine
**Goal:** Show faster, more complete files.
1. Track time from submission to a complete file.
2. Track claims delayed by missing documents.
3. Track handler time spent on data entry.
4. Update checklists where documents are often missing.
**You finish with:** Measured results and better checklists.
## Common pitfalls
- Letting automation make coverage or payment decisions.
- Acting automatically on possible fraud indicators.
- Broad data access beyond what intake needs.
- No source link, so handlers cannot verify extracted details.
Want a hand getting started?
## Start with a workflow audit
We pick the workflow with you, set the baseline and write the bounded design.
[See the audit](https://lidvizion.ai/workflow-audit/) [Talk this playbook through](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fguides%2Fget-complete-claim-files-from-day-one%2F#write)
## See it as a workflow
- [Insurance claim intake](https://lidvizion.ai/use-cases/insurance-claim-intake/): Customer support Read new claim forms, photos and supporting documents, extract the key details, check them against the policy record and flag what is missing, so a claims handler starts with a complete, organised file instead of chasing paperwork.
## More guides like this
- [Start each day with the work orders that matter](https://lidvizion.ai/guides/start-each-day-with-the-work-orders-that-matter/)
- [Answer order status questions instantly](https://lidvizion.ai/guides/answer-order-status-questions-instantly/)
## Related answers
- [How should a company prepare its data before using AI?](https://lidvizion.ai/answers/how-to-prepare-company-data-for-ai/)
- [What is retrieval-augmented generation, and when does a business need it?](https://lidvizion.ai/answers/what-is-retrieval-augmented-generation/)
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)