REPORT

Flag Suspicious Applications Early

See how a financial institution used Qualco ML Studio to prioritise high-risk applications for audit, identifying 70% of fraud cases by reviewing just 15% of the portfolio. 

What’s inside:

  • How the institution predicted fraud risk in new account applications
  • How risk signals helped audit teams rank applications by fraud probability
  • How audit scenarios showed the trade-off between coverage, detection rate, and investigation cost
  • How prioritised auditing helped identify 70% of fraud cases while reducing investigation costs by 31%
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Why it matters?

Focus audits where fraud risk is highest.

 Qualco ML Studio helps financial institutions identify high-risk applications earlier, prioritise investigation effort, and reduce the cost of reviewing low-risk cases.

Sounds interesting?