About the client
Industry:Fintech, Financial Service Provider
Location:Vietnam
Vietnam’s leading provider of financial data analytics platforms and services, the customer offers a suite of fintech and data solutions including PaaS, annual packages, and on-call services. Their core offering comprises comprehensive business financial statement reports detailing crucial information such as creditworthiness, ownership, trading activities, and key financial highlights.
The highlights section includes a financial profile summing up all the important financial numbers of the report and relevant business information. The customer wanted to utilize GenAI technology to optimize its business report-building process by summarizing the financial profile of every company.
Challenge
Time to automate: Building report generation capabilities with GenAI
The customer serves over 1,000 local and foreign organizations via both service platforms and an on-call service for their decision-making process on investing, trading and doing business in Vietnam.
The company wanted to optimize the business report-building process and automate several aspects like summarizing the financial profiles of companies it analyzes. The existing process for generating business financial statement reports was time-intensive and heavily relied on manual work for extraction, processing and summarizing key financial data, including credit information, ownership structure and trading activities.
The solution needed to be both efficient and precise, to continue to maintain the high standards on the reports – the “highlight” section in particular had to communicate the most critical financial metrics and business insights in a way that was concise and accurate and ensured timely delivery. Additionally, they needed a solution that would integrate smoothly into existing data analytics platforms, requiring minimal adjustment for seamless and streamlined operations.
With the primary IT requirement of integrating GenAI technology to automate the summarization of financial profiles, enabling faster, more accurate, and scalable report generation, the fintech turned to Cloud Kinetics, a top-tier data transformation partner of Amazon Web Services (AWS).
Solution
GenAI data solution powered by AWS to build scalability and efficiency
To address the company’s challenges, Cloud Kinetics designed and implemented a GenAI-powered data solution using AWS services to automate the generation of financial profile summaries for business reports. This solution would help streamline their report-building process, enabling efficient, scalable and accurate financial data summarization.
- Storage: Raw company data, including statistics, business profiles, and past performance records uploaded to Amazon S3 ensuring a secure, centralized storage location for all data that feeds into the report-building process.
- Metadata Management: Amazon DynamoDB to store metadata for the uploaded raw data, providing fast access to information about each company, which supports the summarization process.
- API Gateway: Amazon API Gateway to handle requests from the report builder application, serving as the entry point to the backend services and ensuring secure, scalable API management.
- Computing and Processing: AWS Lambda to process incoming requests and interact with Amazon Bedrock. It would manage data flow between S3, DynamoDB, and the Foundation model, orchestrating the summarization process.
- GenAI Summarization: Amazon Bedrock, using the Claude Sonnet 3.5 model, to generate concise and accurate summaries of each company’s financial profile, including critical insights from raw financial data. This AI-driven summary would then be delivered back to the report builder application for seamless report generation.
Success Metrics
Faster delivery, enhanced accuracy increase client satisfaction
The implementation of the GenAI-powered data solution using AWS significantly transformed their report-building process, addressing their initial challenge of time-consuming manual report generation. This solution allows the company to automate financial report summarization, improving accuracy and enabling faster delivery of insights to clients.
80%
reduction in report preparation time Automation and faster data processing has slashed report preparation time.
20%
faster response to client requests The suite of AWS solutions with the power of GenAI has resulted in speeding up response time.
Enhanced
accuracy and consistency Increased efficiency without compromising on accuracy. A consistent, professional report structure across all summaries.
Increased
client satisfaction With quicker response time with the same quality reports and insights, clients are served better.
Automating the financial profile summarization process has reduced report preparation time from hours to minutes. Using Amazon Bedrock and Prompt Engineering techniques, the fintech has achieved a consistent, professional report structure across all summaries. This standardization aligns with the brand and ensures a uniform presentation of insights.
With AWS Lambda and Amazon Bedrock handling data processing and summary generation, the company now delivers insights to clients much faster – response to client inquiries happens 20% more quickly. This in turn has resulted in higher client satisfaction and strengthened their reputation as an efficient and reliable data analytics provider.
