Fraud & compliance risk
See it. Understand it. Act.
Surface suspicious claim patterns and reconciliation exceptions, with evidence to guide investigation and strengthen financial controls.
Evidence behind the next move.
Explore 3 reports across industries. Each connects a business exposure to a decision and the evidence behind it.
The answer
Yes. The Uber ring was visible at claim three and cost $313K before a federal complaint; ten basis points of loss ratio on US Retail is about $26 million, and the data was already in the claims file.
- Anomaly
- Flag the account, process, or exposure whose risk signal has deviated from its normal pattern before a loss event occurs.
- Benchmark
- Benchmark that exposure against comparable exposures internally, and against industry loss/fraud benchmarks externally.
- Cause
- Isolate the actual causal driver of the risk — a specific behavior pattern, a control gap, a counterparty — rather than flagging the exposure generically.
The answer
Yes. Six hundred thousand accounts converted on Labor Day and decommissioning waits on clean breaks; a $0.5M control clears the queue without the temps that would eat the synergy, and it can start this week.
- Anomaly
- Flag the account, ledger line, or transaction pattern whose variance has moved outside its normal range before period close.
- Benchmark
- Benchmark that variance against the same account historically, and against comparable business units or peers externally.
- Cause
- Isolate the actual cause — a process change, a specific counterparty, a system migration — rather than just flagging the number as 'off'.
The answer
Yes. Two prorate histories now settle on one system with new long-haul and oneworld partners; a 0.1 to 0.2 percent leakage cut on a $500 million-plus interline base is $450 to 900K a year, with no headcount attached.
- Anomaly
- Flag the account, ledger line, or transaction pattern whose variance has moved outside its normal range before period close.
- Benchmark
- Benchmark that variance against the same account historically, and against comparable business units or peers externally.
- Cause
- Isolate the actual cause — a process change, a specific counterparty, a system migration — rather than just flagging the number as 'off'.
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