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.
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.
Our Data Driven Approach Flagged Transactions Based on:
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
By partnering with konaAI, the company was able to transform their commission oversight process thereby saving millions of dollars.
If there is one consistent objection heard from large banks when discussing enterprise risk transformation
Artificial intelligence is no longer experimental in banking. It is operational. Large banks and FinTech
There was a time when compliance in banking meant policies, annual training, internal audit reviews
Contextualize fraud detection through AI-driven monitoring aligned to regulatory standards.
konaAI and Compliance Week surveyed 190 compliance leaders to understand how organizations are actually using AI
Employee misconduct begins with behavior, not transactions. Banks must integrate behavioral risk monitoring into enterprise...
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