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Software Development
Amazon Translate, Amazon OpenSearch, AWS IAM, Amazon CloudWatch, Amazon Bedrock
Boosted HR Efficiency with Accurate, Bilingual Chatbot and Automated Workflows Using AWS Technologies
Company objectives are aligned with the values of their parent company, Holdings – to build happier societies using high-impact deep technology. Their research and innovation focus on bringing the latest technologies to labor-intensive frontline services and associated hourly wage workforce. They strive hard to continuously add value to everyone involved in their ecosystem – their employees, associates, customers, and end-users.
Accurate responses to user queries
Achieved zero human intervention
90% accuracy
The client provides HR policy support within their ecosystem but faced challenges with manual workflows, decentralized data, limited support hours, and delays in responses, impacting customer satisfaction.
• The designed solution for the Natural Text-based HR Chatbot leverages a structured architecture to ensure robust functionality, scalability, and seamless integration.
• We have set up an Amazon S3 bucket to serve as a data lake for storing raw data (PDF, Doc). This organized storage solution facilitates efficient data management. Raw documents are uploaded to the Amazon S3 bucket.
• Amazon Bedrock simplifies managing the chatbot’s knowledge base by handling data location, i.e., Amazon S3, and selecting embedding models that convert the raw data into vectors. These vectors populate the vector DB, i.e., Amazon OpenSearch, streamlining the RAG-based workflow and ensuring efficient query handling.
• Integrating AWS Lambda functions with Amazon API Gateway and the Amazon Bedrock Knowledge Base is a common approach to enabling interaction with a chatbot from the front end.
• Integration with Amazon Comprehend to identify the language (Spanish or English) of input queries enhances language processing capabilities.
• Utilization of Amazon Translate to parse input queries to Amazon Bedrock ensures compatibility and accuracy in understanding user inputs.
• Creation of a separate AWS IAM user for developers in the delivery group to manage access and permissions effectively.
• Implementation of Amazon CloudWatch for comprehensive monitoring through AWS ensures system health and performance optimization.
Developed a scalable HRMS chatbot with automated, bilingual support and over 90% accuracy using Amazon Bedrock’s Knowledge Bases and AWS Gen-AI, enhancing HR operations and user experience.
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Ondemand Webinar
AWS
May 2024
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