Gain a deeper understanding of each credit applicant and client by adding a new layer of personality insights.
Obtain consistent, unbiased predictive scores of a borrower’s reliability, integrity (intention to repay), and accountability.
As a result, credit approvals and revenues are optimized, and creditors can reevaluate the calculated risk on their default rates, due to a better understanding of their borrowers.
Reduce subjectivity from traditional credit approval processes, resulting in inconsistent decision-making and erring on the side of caution.
Individuals: Improve the accuracy of existing scoring models for assessing the credit risk of individual applicants, which increases loan approvals and could reduce loan default rates.
Companies: To improve corporate credit approvals, companies are assessed by evaluating executive team members.
Apply personality insights as actionable recommendations for customizing digital financial solutions.
Empower customers through genuine, empathic communication that caters to the distinct characters and needs, to instill confidence and trust in digital platforms.
As more financial services migrate towards digital channels, diminishing the human touch, INFI introduces the humanlike experience that customers crave in the digital world.
Improve and automate investment suitability risk tolerance by using personality-related insights for investor risk profiles in order to optimize the match between investors and investment portfolios.
Evaluate current risk appetite via automated, real-time risk-profile assessments.
Achieve optimized investment suitability between investors and investor’s portfolios results.
This enhances existing risk-profiling questionnaires applicable for a specific point in time, and reduces potentially inadvertent advice.