Fraud-Alert Investigation
Triage fraud and anomaly alerts, assemble the evidence, and hand an analyst a decision-ready file.
What It Does
The agent gathers the transactions, history, and related alerts behind each case, summarizes the pattern, and scores it against policy. An analyst makes the call on a complete file.Without it: Analysts drown in false positives. Each alert means pulling transactions, account history, and prior cases by hand before a decision can be made.
- Links the alert to prior cases on the same device, IP, or counterparty
- Names the policy rule behind each score and the transactions that fired it
- Alerts with too thin a history are escalated unscored rather than closed
- The assembled file is written into case management, not a separate console
Illustrative example
Alert TM-40912 fires on a $4,300 card-not-present transaction three minutes after a new device is enrolled on account ending 7781. The agent pulls the last 90 days of activity, finds two declined attempts on the same BIN and an address change filed the night before, and posts a file into the case queue scored against the velocity rule it matched. The analyst reads the file with the three events and the matched rule attached, and decides whether the card gets blocked.
Core banking
Prior cases, same device
Card processor
Authorizations, declines
Case management
Prior cases on file
Sanctions screening
Counterparty hits
Fraud-alert investigation
SuggestStarts when
A transaction-monitoring rule or model raises an alert on an account
How far it goes
it proposes, and a person approves before anything commits
Never
RAIL: enforced below the model, not asked of it
Case file
Assembled in the queue
Pattern summary
Attached to the file
Alert
Scored against policy
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Case Studies
What Stops a Fraud Agent From Moving Money
Banking
90% of institutions already run AI here; the models were never the blocker.
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The Bank Cannot Simply Disbelieve the Customer
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Each denial carries the evidence behind it, assembled while the case is open.
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