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Abstract:

The proposed solution leverages advanced artificial intelligence and machine learning
algorithms to process a wide array of traditional and alternative data sources, enabling more
accurate and inclusive credit assessments.
Based on industry benchmarks, and specifically the Capgemini report, the author projects the
following improvements:
● 70-90%increase in automated decisioning
● 15-40%increase in approval rates
● 10-25%decrease in loss rates
The Intelligent Underwriting Engine aligns with Jifiti’s mission to expand financial access globally
and builds upon the company’s existing strengths in embedded lending technology. It positions
Jifiti to capture a significant share of the growing embedded finance market in the post-Covid
era, estimated to reach $7.2 trillion by 2030.

Author: : Meir Dudai