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Commission Oversight Identified through Data-driven Risk Management
Case Summary
  • Evaluated and identified fraudulent third party commissions for a Telecom giant.
  • Data Analytics used to prioritize high-risk transactions and reduce investigative backlog.
  • Enhanced organizational compliance.

Our Data Driven Approach Flagged Transactions Based on:

  • Unusual requestors
  • Recipients outside the contractor’s hometown
  • High frequency of modifications to the records
  • Multiple transactions on the same day
  • Recurring and identical transactions/duplicates
  • Round number transactions and statistical outliers
  • Geo-spatial analysis
Challenge

 A global telecommunications company reached out to us with a serious financial concern. The commissions paid to third parties was riddled with excess payments, duplicative commissions, fake recipients, and other forms of fraud, waste and abuse.

Solution

When the company approached us, we knew identifying high-risk transactions and enforcing compliance was the key. Using Data Analytics, the team processed 100+ million transactions, assigning risk scores and prioritizing high-risk commissions payments.

 100+ Million
Transactions Processed
$6 Million in High-risk
Transactions Identified
33% Reduction in
Investigative Backlog
Results

With the help of konaAI’s interactive dashboards and risk-prioritized transaction insights, the company was able to identify and prevent transactions amounting to several million dollars. As a result, the compliance team was then able to

  • Zero in on highest-risk customers and their account representatives
  • Engage in effective remedial action
  • Reduce investigative backlog by over 33%!
By partnering with konaAI, the company was able to transform their commission oversight process thereby saving millions of dollars.

No Crystal Ball.
Just konaAI Predictive Modeling.

Discover how konaAI can help you identify and reduce risk while showcasing the effectiveness of your monitoring, auditing, and investigations programs.

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