Customer Case Studies

Problem

For lenders, manual loan application review and approval processes are often human-intensive, not scalable, and prone to errors or inconsistencies. Further, traditional rules-based automation software is ill equipped to manage complexities in lending decision criteria and variability in submitted applications.

Solution

MimiCognition and MimiData to help evaluate loan applications and determine appropriate scores for decision-making. Speed up loan processing and increase loan approval accuracy for larger volume of applications without the need to add personnel.

Automated

Extraction, cleaning, and analysis of important lending data attributes across multiple systems

Explainable

AI that delivers loan applications underwriting decisions in real-time

Advanced

Data visualization and mapping of lending data to highlight outliers, patterns, and trends

Entefy components & technology used:

Entefy applications leverage a robust library of configurable services and components which are pre-built for speed, scale, and consistency.

Highlights

MIMI AI

Mimi AI Gateway

A.D.S.

MimiData

MimiCognition

Model Library

DATA COMPONENTS

Vault Direct Connect (VDC)

Data Flow Controller

Data Extraction Service

Data Transformation Service

Meta Handler

APPLICATION COMPONENTS

Entefy UI Framework

Transaction Manager

Data2Graph

Mimi Workflow Visualization

Entefy Authentication Service

OTHER SYSTEM FEATURES

In-App Model Testing Library

Event Sourced Architecture

Common Authentication with Entefy Services

Controlled Model Updates

Data Obfuscation (incl. for PII)