GenAI-Powered Financial Solutions Assessment

R Systems' Financial Solutions Assessment powered by GenAI

As an AWS Advanced Tier Services Partner with global expertise in AI/ML, R Systems is committed to identifying and implementing financial services-specific GenAI use cases. Its objective is to leverage generative AI to build impactful solutions and seamlessly deploy them into production. Through discovery sessions, R Systems will:

• Clearly define use cases
• Evaluate generative AI adoption readiness
• Identify key Large Language Models (LLMs)
• Develop a roadmap for implementation, starting with POC

By the end of the engagement, customers will gain a clear understanding of the possibilities offered by various generative AI and ML use cases tailored to their specific business challenges, along with an execution plan.

Here are a few finance industry use cases identified by R Systems’ GenAI experts:

• Fraud Detection Mechanisms: Generative AI can create synthetic datasets to enhance AI/ML systems by simulating various money-laundering patterns.
• Portfolio Management: Generative AI can simulate different market scenarios to assist in the creation and management of robust investment portfolios.
• Debt Collection: Generative AI can develop the most effective communication and negotiation strategies for debt collection, increasing the success rate of collections.
• Customer Service and Support: Developing AI-powered chatbots and virtual assistants to handle customer inquiries, generate responses, and provide personalized financial advice.
• Automated Document Generation: Creating personalized financial statements, reports, and contract documents for clients using generative AI.
• Financial Forecasting: Generating predictive models for market trends, stock prices, and economic indicators with generative AI.

Generative AI Assessment Engagement Includes:

• Executive visioning and alignment
• Overview of generative AI technologies
• Identification and evaluation of relevant existing data sources
• Initial assessment of data quality
• Highlighting issues or recommending data cleansing if required
• Proof-Of-Concept (POC) funded by AWS for applicable/prioritized use cases using AWS SageMaker or Bedrock
• Implementation of Retrieval-Augmented Generation (RAG) to enhance AI solutions
• Presentation of findings to leadership, highlighting benefits and challenges of recommended solutions

R Systems aims to provide a clear, actionable roadmap for implementing generative AI solutions tailored to your business.