Know Your Customer (KYC)
During customer onboarding, there are various CRM features that are gathered from potential clients. These features are fed into the KROTON KYC Miner machine learning algorithms to calculate the risk levels for the onboarding clients. The investigation includes shareholders, directors and other related parties as well.
KROTON Suspect Miner advanced machine learning models utilize multiple features of leasing agreements and leasing parties to detect suspicious activities. KROTON's active learning technology enables investigation teams to detect previously unknown anomalies, and new techniques developed by the criminals in a pro-active fashion. Typical typologies of interest are:
KROTON Link Miner uses advanced graph network algorithms to identify suspicious sub-networks of leasing activities.
The sanctions screening covers the following cases utilising the KROTON Sanctions Miner :
H3M KROTON modules work hand-in-hand with legacy rule-based compliance systems and upgrade them with the help of Artificial Intelligence. H3M flips the paradigm. Most platforms help firms comply. Crime detection is a by-product. H3M is different. Designed from the ground up to uncover hidden links to detect and prevent crime, better compliance, enhanced regulatory relations, competitive advantage, and brand value are great by-products. The KROTON product suite includes 4 AI-based modules which powerfully combine compliance know-how with data science: