Create and manage end-to-end underwriting processes without writing any code to improve efficiency, reduce IT burden and eliminate regulatory concerns by creating transparent workflows that your organization understands. Take your underwriting processes beyond traditional credit scores by using automated machine learning to analyze historical data and train models that predict defaults on future credit applications.
Make the right first impression with potential customers by streamlining account opening processes that include complex business logic – all while ensuring compliance with transparent rules management.
Eliminate fraud and money laundering while easily managing changing compliance requirements by gathering predictive third-party data, implementing codified business rules and leveraging predictive models that instantly flag exceptions.
Evaluate applications and transactions in real-time with predictive models that accurately estimate the probability of fraud, saving you time and money while streamlining customer experiences.
Target clients with compelling offers with machine learning models that recommend products. Improve relationships with clients by making right product recommendation, to the right customer at the right time.
Use machine learning to train models that recommend the next best action to operations staff. This lets them work through their queues dynamically, based on the opportunities that are most in need of attention. The prioritization can be based on a variety of predicted factors, including the likelihood that a deal will close, expected profitability of the account, time-based factors and more.
Increase marketing efficiency and improve ROI with predictive analytics that ensure the most accurate targeting and messaging possible. Optimize your marketing with machine learning models that predict response rates and suggest the right message at the right time.