Application Risk

Risk mitigation and credit management solution for your business

Neural Technologies’ Application Risk product provides application risk mitigation for enterprises, offering a valuable solution to assess any type of loan or application in real-time. It offers fast, accurate accept/decline/defer decisions that are vital for credit management in a fast-paced operating environment.

The Optimus solution provides personalized credit limit recommendations, and where applicable, advocates credit management strategies such as collection of a deposit. It provides an adaptive and powerful solution to your application processes. This not only provides you with effective and consistent management decisions, but helps greatly optimize your application workflow. Customer acquisition can be automated and accelerated, boosting your ability to assess and acquire customers which may traditionally have been missed due to cautious and generalized risk model applications.

Rapidly scalable solution

Optimus Application Risk can be deployed rapidly, and is quickly scalable to meet growing application demands. As well as on-premise implementation, a hosted environment solution can further accelerate adoption, reducing resource requirements and operational expenditure. There is no large upfront fee, providing an effective solution with a simple monthly subscription charge. All security and maintenance issues are undertaken by Neural Technologies, further reducing the demand on internal enterprise IT resources.

The artificial intelligence and machine learning solutions of the Optimus Platform have delivered successful credit mitigation for clients around the world for decades. The advanced analytics and neural predictive modeling provides a solution which delivers real value for credit management in application settings. The solution offers complete control over data access, decision workflow, business rules, policy rules, analytical models, and configuration and reporting, providing clear oversight of the application process.

Application Risk Features

Slide Automated eligibility check based on configured business policy. Credit vetting using weighted-bin scorecard to determine whether the outcome, deposit amount, or further credit check is required.
Highly-configurable and automated credit risk assessment at point-of-sales using combination of rules, statistical models, and machine learning analysis. Supports ID verification integration with third-party providers.
Slide Consistent and explainable decisions by amalgamation of both fraud and credit decisions using decision tree. Clear regulatory compliance.
Fraud checks against hot lists, existing accounts, and subscription fraud risks Quick integration to external service providers, structured and unstructured data sources.
Slide Option to extend coverage to ‘in life’ risk management. Robust, reliable, real-time decisions.

Business Benefits for Customers

Application Risk
Rapid Resolution
Fast, accurate resolution to application decisions in real-time. Reduces internal resource needs through more efficient application assessments.
Application Risk
Cost Saving
Minimal upfront investment required. Monthly subscription provides simple pricing structure, with rapid return on investment.
Application Risk
Expanding Opportunity
Comprehensive neural modelling provides clear decisions on previously ‘grey area’ customers, opening up new opportunities for revenue generation.
Application Risk
Flexible and Scalable
Easily configured to meet your unique business requirements. Quickly introduce new products and services to enable business growth.
Application Risk
Simple Integration
Interfaces with internal and external data sources for simple
Application Risk
Ensures compliant and consistent application decisions with clear analytics.
Application Risk
Proven Solution
A secure, proven application risk platform that eliminates waste, reduces resource burden, and enhances revenue opportunities.

Get in touch with Neural Technologies for your
free consultation on our Application Risk solution