Augment Your Anti-Money Laundering (AML) Team
Incorporate AI Digital Workers as part of your AML compliance team.

The challenge of AML

In recent years enforcement actions related to AML have been on the rise. Regulatory authorities have become more vigilant in the battle against money laundering and terrorist financing, with regulators levying $36 billion in fines worldwide.

The growing importance of AML compliance and increased sanctions, coupled with the challenging labor market, overworked employees, and ongoing recession fears, creates several challenges for financial institutions:

  • Rising costs: AML teams’ staffing and training or outsourcing cost large institutions hundreds of millions annually and create significant cost pressure for institutions.
  • Operational inefficiency: Analysts spend most of their time performing nonanalytical work, such as gathering manual data across multiple systems. A lot of effort is wasted on checking what turn out to be false positives, which account for 99% of screening results.
  • Poor work quality: Inconsistency in decision-making across analysts and variability or human error in recorded audit trails creates a challenge. In the best case, this results in unnecessary work for L2 teams; but in a worst-case scenario, the bank can miss a true hit and get exposed to sanctions risk.
  • Employee dissatisfaction: Tedious manual work creates a poor work experience for overworked employees, resulting in high turnover.
  • Poor customer experience: Delays in account opening or payment processing and navigating an excess of touchpoints in the process all impact the customer experience.
  • Compliance risks: Lack of adequate staffing, complexities of regulations plus increasing volumes, and human error all lead to compliance challenges faced by AML teams.

To remediate these inefficiencies, financial institutions should incorporate AI Digital Workers as part of the AML compliance teams.

AI Digital Workers for AML Automation

Adverse Media Monitoring: conduct searches, gather data, and record evidence to boost KYC and AML processes.

Name Sanction/PEP Screening: alert review of identified sanctioned individuals, entities, and Politically Exposed Persons (PEP) to determine if conducting business with them might pose a risk.

Transaction Screening: optimize the repetitive tasks by reviewing and auto-dispositioning alerts involved in real-time transaction screening to empower your analysts to focus on high-impact cases.

Transaction Monitoring: automate transaction monitoring level one alert review by investigating and evaluating unusual transactions generated from surveillance monitoring systems. Turn analysts from authors to editors with a dossier that summarizes and justifies findings in a detailed narrative.

What makes our AI Digital Workforce so valuable?

A unique combination of cutting-edge underlying tech, developed through deep partnerships with leading organizations in financial services, insurance, retail, logistics and more.



Seamlessly works with your team, freeing up their time for more meaningful projects



Trained at similar organizations, fully prepared to work on your most complex processes



Continuously learning from your team, your documents, and each other to improve performance every day



In addition to simple RPA tasks, their IDP / AI technologies enable them to read and understand any kind of document