Build your dynamic risk rating framework based on transactional and non-transactional attributes, and scale across your whole enterprise.
Customer risk rating should be both dynamic and automated so that all new customer information from external sources and transactional history are included in real time.
Combine many different data elements quickly including; geographical risk, channel risk, external risk data, business information, decision outcomes, occupation, currency, purpose, age, funds, customer type, and industry codes... amongst many others.
Build your customised models in minutes and deploy with a few clicks, or utilise best practice templates, scoring, and rating approach. Alternatively, deploy machine learning algorithms into a seamless workflow instantly.
Reduce the time you spend managing referrals without increasing risk exposure. Route alerts to the appropriate teams, or automate the capture of additional information based on scoring bands.
Risk Rating with TruNarrative
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