Financial Services agent
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
More financial services agents
- KYC document intelligenceRead onboarding packets in full, extract what compliance needs, and flag gaps before review.SuggestOnboarding portalDocument store+2
- AML alert triageScore and structure AML alerts with the supporting evidence, every decision logged for the audit file.SuggestTransaction monitoringCase management+2
- Communications surveillanceCheck communications against policy continuously, surfacing only what a reviewer needs to see.WatchEmailChat and messaging+2
Case studies
View all
Banking · Solution blueprintWhat Stops a Fraud Agent From Moving Money90% of institutions already run AI here; the models were never the blocker.Read case study →
Banking · Solution blueprintThe Bank Cannot Simply Disbelieve the CustomerEach denial carries the evidence behind it, assembled while the case is open.Read case study →
Banking · Solution blueprintClosing a Regulation E Dispute Inside Ten Business DaysMiss it and the credit issues itself, whatever the evidence would show.Read case study →
Banking · Solution blueprint$213 Billion Lost to Declines That Were Never FraudDecisions weigh evidence rather than rules, so fewer good customers are refused.Read case study →
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