Umpqua Bank, focus on the real financial crime risks
Banks and financial institutions all share the same goal: Detecting and preventing financial crimes.
They also share the same challenge: Being able to quickly identify the real risks amongst all the noise.
Yet legacy and traditional risk management frameworks fail to interrogate risk-related entity and counterpart data, as well as other important sources – all of which provide invaluable insight.
This results in a high volume of low-value or false positive alerts that need to be reviewed by compliance teams.
This resource-intensive and manual investigation process is simply not sustainable, leaving organizations with backlogs and little control over their investigations – and vulnerable to financial, strategic, and operational instability.
How AI Auto Investigator is Revolutionizing Transaction Alert Monitoring
AI Auto Investigator fully automates the entire scope of an analyst's workflow, empowering them to find - and focus on - the real financial crime risks.
The best part about our cutting edge AI technology?
- It can take as little as 12 weeks to implement
- Visibility across a wide variety of risk data variables
- Investigation reports are structured, customizable, and easy to consume
- Analysts are in full control of the end outcomes
The results:
- 60% reduction in analyst handling time
- 80% reduction in false positives and low-value alerts
- 50% cost saving across the investigation process
Download our case study to learn more.
Download Case Study Now
