Retail Banking Solutions
Enhancing AML Compliance with Advanced AI Solutions
- Know Your Customer (KYC): KROTON KYC Miner offers two key applications for retail banks:
a. Customer Onboarding: Utilizing CRM features gathered from potential clients, our machine learning algorithms calculate risk levels during the onboarding process.
b. Ongoing Risk Assessment: Periodically recalculating customer risk levels based on transaction behaviour, relations with SAR filings, and other parameters. - Transaction Monitoring: KROTON Suspect Miner leverages advanced machine learning models and active learning technology to proactively detect suspicious activity. By analyzing CRM data, product usage, transactions, and channel usage, our models uncover typologies such as smurfing, transactions uncorrelated with customer profiles, excessive changes in account value, and more.
- Network Analysis: KROTON Link Miner employs sophisticated graph network algorithms to identify suspicious sub-networks like illegal gambling networks and assess relations to high-risk customers using proprietary link analysis algorithms.
- Sanctions Screening: KROTON Sanctions Miner streamlines sanctions screening by:
a. Screening existing customers against sanctions lists b. Incrementally matching new list entries c. Investigating new customers d. Conducting on-demand screening
KROTON Product Suite
H3M's KROTON modules seamlessly integrate with existing rule-based compliance systems, enhancing their capabilities with advanced AI technology. Our unique approach prioritizes crime detection and prevention, with improved compliance, strengthened regulatory relations, competitive advantage, and increased brand value as beneficial outcomes. Designed from the ground up to reveal hidden connections and identify suspicious activities, H3M's KROTON product suite features four AI-driven modules that expertly blend compliance expertise and data science: