What is Early Warning?

A customer can start the application process for a new account through various methods, including face-to-face interactions at the branch, online platforms, mobile applications, or by calling the contact center. Early Warning evaluates the likelihood of the customer's authenticity by leveraging advanced banking data, enabling a swift assessment of identity verification which significantly improves the identification of synthetic and manipulated identities. Moreover, Early Warning predicts the chances that a customer might default due to first-party fraud within the first nine months following the account opening. Through the use of predictive insights, we acquire a more profound understanding of customer behavior and tendencies. The system also analyzes the risk of default arising from poor account management during the same period. With these evaluations, institutions can tailor applicant benefits to align with their specific risk appetite. Utilizing real-time predictive analytics not only supports more strategic decision-making but also expands financial access for a broader range of customers. This approach is instrumental in managing risk effectively, potentially enhancing revenue opportunities. Ultimately, the equilibrium between risk management and customer inclusivity is essential for cultivating a more robust financial environment, fostering growth and stability for all stakeholders involved.

Screenshots and Video

Early Warning Screenshot 1

Company Facts

Company Name:
Early Warning
Date Founded:
1990
Company Location:
United States
Company Website:
www.earlywarning.com/products/identity-chek-service-new-account-scores

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Early Warning Categories and Features