Overview
The Intelligent Loan Onboarding Assistant, equipped with AI Insights, has been designed, developed, and rigorously tested utilizing AWS SageMaker, built upon the advanced 5th Generation Intel Xeon AMX processor, specifically the c7i 16xlarge instance featuring 64-core processors. The application has undergone testing and validation with AWS SageMaker on Intel Xeon c7i instances by selecting configurations of 48, 64, and 96 CPUs, confirming both latency and throughput.
The loan origination system effectively supports banking customers in onboarding new clients through the implementation of innovative Generative AI, RAG, Flask API, Streamlit, Intel Xeon AMX, and Open Vino Optimized models on AWS SageMaker, offering several advantages such as:
Customer Engagement: This system enhances interactions by delivering accurate, timely, and relevant responses to frequently asked questions, thereby increasing customer satisfaction and decreasing the need for manual support.
Data Efficiency: It streamlines the processes of data collection and verification, minimizing manual efforts and expediting approvals while seamlessly managing KYC, tax, and income documentation.
User-Friendly Application: The application ensures an intuitive loan application process that facilitates easy modifications and eligibility assessments, thereby promoting higher completion rates.
Regulatory Compliance: It guarantees adherence to regulatory standards, thereby minimizing risks associated with non-compliance and reducing the necessity for manual checks.
Admin Efficiency: The system provides clear insights for bank administrators, enabling them to efficiently review and make decisions regarding loan applications, thus enhancing operational workflows.
Faster Approvals: By leveraging AI insights, the system significantly reduces loan approval times, thereby improving overall process efficiency.
Highlights
- Onboarding of end customers is facilitated through AWS SageMaker, Generative AI, and Intel Xeon AMX Advanced Processors (c7i, m7i, r7i) tools and technologies.
- Customer satisfaction has been enhanced by utilizing the Llama-2 model, which offers more conversational responses.
- Operational efficiency has improved as customers can upload necessary documents independently and receive validation.
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