Insurance Fraud Detection Workflow
Protect your bottom line with our advanced Insurance Fraud Detection Workflow. Streamline claims investigation, identify suspicious patterns through automated red-flagging, and mitigate risk with a seamless, end-to-end auditing process designed to stop fraudulent activity before it impacts your payouts.
Rozpoczęcie
Rozpoczęcie przepływu pracy/procesu.
1. Fetch New Claim Submission
Retrieve the details of the recently submitted insurance claim from the Claims Data Model.
2. Fetch Policyholder History
Retrieve all previous claim entries associated with the specific policyholder ID.
3. Fetch Blacklisted Entities
Retrieve data from the Fraudster Watchlist model to check for matching names or bank accounts.
4. Calculate Total Claim Value (Lifetime)
Sum the value of all historical claims for this policyholder to detect patterns of frequent small-value claims.
5. Calculate Frequency of Claims
Count the number of claim entries submitted by the user within the last 12 months.
6. Calculate Risk Score
Apply a formula combining claim amount, frequency, and blacklist matches to generate a numeric fraud probability score.
7. Assign to Fraud Investigator
Create a high-priority task for the Fraud Investigation Team if the Risk Score exceeds the threshold.
8. Assign to Standard Review
Create a routine task for a Claims Adjuster if the Risk Score is within normal parameters.
9. Update Claim Status
Update the status of the initial claim entry to 'Under Investigation' or 'Flagged'.
10. Create Incident Report
Create a new entry in the Fraud Investigation Log detailing the findings of the investigation.
11. Notify Investigator
Send an email to the assigned investigator with a link to the flagged claim and the calculated risk score.
12. Alert Policyholder
Send a generic automated email to the policyholder informing them that additional documentation is required for verification.
13. Urgent Alert SMS
Send an SMS alert to the Fraud Manager for extreme-risk cases (Risk Score > 90).
14. Update Blacklist
If fraud is confirmed, update the Blacklist Data Model to include the fraudulent entity's details.
15. Generate Monthly Fraud Trend Report
Create a summary report aggregating all flagged and confirmed fraud entries for the monthly management review.
16. Remove Erroneous Flags
Delete a flagged entry from the investigation queue if the investigation proves the claim was legitimate.
Koniec
Koniec przepływu pracy/procesu.
Rozpoczęcie przepływu pracy/procesu.
Retrieve the details of the recently submitted insurance claim from the Claims Data Model.
Retrieve all previous claim entries associated with the specific policyholder ID.
Retrieve data from the Fraudster Watchlist model to check for matching names or bank accounts.
Sum the value of all historical claims for this policyholder to detect patterns of frequent small-value claims.
Count the number of claim entries submitted by the user within the last 12 months.
Apply a formula combining claim amount, frequency, and blacklist matches to generate a numeric fraud probability score.
Create a high-priority task for the Fraud Investigation Team if the Risk Score exceeds the threshold.
Create a routine task for a Claims Adjuster if the Risk Score is within normal parameters.
Update the status of the initial claim entry to 'Under Investigation' or 'Flagged'.
Create a new entry in the Fraud Investigation Log detailing the findings of the investigation.
Send an email to the assigned investigator with a link to the flagged claim and the calculated risk score.
Send a generic automated email to the policyholder informing them that additional documentation is required for verification.
Send an SMS alert to the Fraud Manager for extreme-risk cases (Risk Score > 90).
If fraud is confirmed, update the Blacklist Data Model to include the fraudulent entity's details.
Create a summary report aggregating all flagged and confirmed fraud entries for the monthly management review.
Delete a flagged entry from the investigation queue if the investigation proves the claim was legitimate.
Koniec przepływu pracy/procesu.
Czy ten szablon przepływu pracy okazał się pomocny?
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