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Financial Service
Amazon API Gateway, Amazon Bedrock, Amazon DynamoDB, AWS Lambda, Amazon S3, AWS Secrets Manager
An AI chatbot on Amazon Bedrock to automate customer engagement and data collection
Daughter’s Wealth Tech is a fintech startup established in 2022, focused on delivering innovative wealth management and financial technology solutions. The company simplifies financial planning and investments through technology-driven platforms, emphasizing accessibility, scalability, and customer-centric services as an emerging player in India’s fintech ecosystem.
Accurate AI-Powered Data Capture
Real-Time Secure Communication
Reduction in Manual Effort
Daughter’s Wealth Tech faced significant limitations with their existing support systems, which were manual, slow to scale, and unable to deliver personalized, real-time assistance to customers. This hindered their ability to enhance customer engagement and provide the responsive, intelligent support expected in today’s competitive fintech landscape.
An end-to-end cloud-native conversational AI solution was built using AWS services:
• Amazon API Gateway (WebSocket) and AWS Lambda enabled secure, low-latency chatbot interactions via web and mobile apps.
• Amazon Bedrock Agents with Nova Pro foundation model delivered natural, context-aware interactions.
• Amazon DynamoDB stored conversation history and structured data, while Amazon S3 stored required documents.
• Seamless integration with enterprise databases enabled personalized responses and domain-specific insights.
• AWS IAM, AWS Secrets Manager, Amazon CloudWatch, and Amazon CloudTrail ensured access control, encryption, and operational monitoring.
• Automated routine tasks, reduced manual effort, and enabled secure, scalable, personalized user experiences.
Deployed an AI-powered chatbot using Amazon Bedrock Agents (Nova Pro), Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon S3, achieving 99% data capture accuracy and reducing manual data collection effort by 50% through automated conversational workflows.
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