Case Study

Modernizing Auto Finance Systems with AI/ML for a Leading FinTech

About the Company

The client is a leading Auto Finance FinTech company providing SaaSbased loan origination platforms to banks, credit unions, finance companies, and lenders, transforming their operations across the US and Canada.

Background of Business Problem

Our Approach & Solution

Infinite proposed creating an integrated application consisting of 13 subdomains, each developed as a standalone microservice-based system. These systems were then integrated to form a comprehensive solution, ensuring modularity and ease of maintenance.

To ensure rapid development and deployment, Infinite utilized an innovative AI-powered Natural Language platform. This platform autonomously transformed structured requirements into detailed functionalities and workflows without manual coding, significantly reducing development time.

The AI-powered platform was used to create both the front end and back end of the application, ensuring seamless integration and high-quality output. This approach allowed for rapid code development and iteration, ensuring the final product met all client specifications and quality standards.

The fully functional Natural Language-based solution was converted to the client’s preferred Microsoft tech stack and deployed in the Azure Cloud. This rapid application development approach ensured scalability and flexibility while leveraging advanced automation capabilities.

The rapid development and deployment facilitated an iterative development process, allowing for frequent feedback loops and efficient adjustments. This significantly reduced the overall development lifecycle and ensured the final product closely aligned with client requirements and market needs

Business Outcomes

40% Faster Time to Market

Leveraging AI-powered development and microservices architecture significantly reduced the development cycle, enabling quicker deployment.

Improved Customer Experience

The new system provided a seamless, intuitive user interface and faster processing times, resulting in higher customer satisfaction and engagement.

45% Reduction in Build Costs

AI-powered automation reduced the need for manual coding, streamlined development processes, and minimized errors, resulting in significant savings in development time and resources.

Increased Scalability

The cloud-based infrastructure allowed the system to scale effortlessly, accommodating growth and peak demand periods without performance issues.

Higher Data Accuracy

Enhanced data validation and processing workflows reduced errors, ensuring more reliable and accurate financial reporting.

Improved Decision-Making

Real-time analytics and reporting capabilities provided better insights, enabling more informed business decisions.

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