Customer Case Studies
EXPOSED $45 BILLION IN TAX EVASION
Discovered $250 million in money laundering activity
Financial Crime
For a large global bank, Symphony AyasdiAI rapidly ingested client data, automatically generated features for analysis, and drove risk scoring to discover anomalous behaviors, changing patterns, and similarities to known bad parties and behaviors. Using our patented technology, the Symphony AyasdiAI solution discovered previously unalerted criminality in less than 15 minutes. This suspicious behavior equaled $45 billion in tax evasion, where the parties used shell companies and complex loan structures, and an additional $250 million funneled through shell companies in popular tax havens. These behaviors were found while generating a 56% reduction in false positives rate when compared to the existing TMS. The kicker? That TMS never identified these anomalies or alerted investigators. Symphony AyasdiAI’s analysis found these behaviors, and hundreds alike, with less noise while assisting a more relevant and rapid investigation.
Learn MoreALM: Risk, Liquidity, and Profitability
Symphony AyasdiAI’s optimization solutions allow banks to categorize customer balances much more accurately, predict the future path of operational activity at an individual client level, and provides practical and easy-to-use outputs. This gives customer account managers the needed insights to prioritize actions that may positively influence future outcomes. Implementing Symphony AyasdiAI’s liquidity optimization at a global bank freed up over $7 billion in excess liquidity reserves that were reinvested, generating over $110 million in profit. This whole project lasted 6 months under full regulatory scrutiny. On top of that, the solution provided account managers with customer relationship management alerts, when acted upon generated an additional $1 million each month.
Learn MoreIDENTIFIED $7 BILLION IN LIQUIDITY RESERVES
Released for profitable investment
ACCURATELY PREDICTED 70% OF CHURNING POPULATION
From over 300 million users
Real KYX Intelligence
For a global telecommunications company, Symphony AyasdiAI uncovered complex behavioral patterns for over 300 million users on the company’s mobile phone service. Due to the scale and complexity of the data, existing machine learning methods had failed to predict consumer behavior and identify the risk of churn. Our solution was able to identify 70% of the churning population, an industry-leading level of accuracy.
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