AI is projected to save the banking industry approximately $1 trillion by 2030, with machine learning supporting fraud detection, sanctions screening, and KYC checks.
Banks spend a lot to stay in line with anti-money laundering regulations, and the volume of compliance work continues to increase.
At the same time, AML rules and reporting obligations evolve constantly, creating pressure on operations teams and analysts.
Smart AML provides an AI-based solution that allows both regulators and banks to fulfill compliance requirements more effectively while reducing fraud in the process.
Smart AML uses artificial intelligence and machine learning to set new benchmarks in capabilities such as Know Your Customer and anti-money laundering workflows.
At scale, AI is capable of tracking malicious transactions and associated risks much better than humans, making powered monitoring essential for battling fraud.
Artificial intelligence combs through large volumes of data, verifies customer profiles, and strengthens due diligence far beyond manual review alone.
It helps identify suspicious customers and transaction patterns and can be scaled easily, replacing strenuous and error-prone human effort.
Automated, lightning-fast KYC and AML checks, including digital identity verification, screening, and transaction monitoring.
Linking and finding transaction patterns invisible to the human eye to maximize automated fraud prevention and AML efficiency.
Verification of documents to authenticate identities and addresses while extracting data from documents and running spoofing checks.
Automated collection and analysis of data to identify suspicious activity and decrease false positive alerts tenfold.
AI and ML algorithms extract meaningful information from a wide array of data, including data structured less than optimally.
