Fraud Detection Case Management Process

Начало на работния поток/процеса.

Retrieve all transaction entries from the Transaction Data Model that exceed the defined fraud threshold.

Sum the total value of all retrieved suspicious transactions to determine the total financial impact.

Execute a formula combining transaction frequency, amount, and user history to generate a unified Risk Score.

Create a new entry in the Fraud Case Data Model containing the calculated risk score and linked transaction IDs.

Create a task for a Fraud Analyst to review the newly created Fraud Case.

Fetch the associated user profile data (KYC status, location, age) linked to the flagged transactions.

Create a sub-task to verify the identity documents of the user involved in the suspicious activity.

Update the Fraud Case entry status to 'Under Investigation' once the task is picked up.

Send an automated email alert to the Compliance Department regarding a high-risk fraud case creation.

Retrieve a list of known fraudulent IP addresses from the Blacklist Data Model for cross-referencing.

Compare the transaction IP address against the blacklist to determine a match/no-match boolean.

Update the User Data Model to set the 'Account Status' to 'Restricted' if the risk score is critical.

Send an SMS to the customer's registered phone number asking them to confirm recent transactions.

Update the Fraud Case entry with notes and evidence gathered during the investigation task.

Create a task for the Senior Manager to approve or reject the fraud case closure.

Delete temporary alert entries from the Alert Buffer if the investigation confirms no fraud occurred.

Create a summary report aggregating all resolved fraud cases, total losses prevented, and investigator efficiency.

Край на работния поток/процеса.