Artificial Intelligence
Author: Satyanarayana Adimula
Satyanarayana Adimula is a Senior Builder in the AWS GenAI Invocation Center. With over 20 years of experience in data and analytics and deep expertise in generative AI, he helps organizations achieve measurable business outcomes. He builds agentic AI systems that automate workflows, accelerate decision-making, reduce costs, increase productivity, and create new revenue opportunities. His work spans large enterprise customers across various industries, including retail, banking, financial services, insurance, healthcare, media and entertainment, and professional services.
Embed Amazon Quick Suite chat agents in enterprise applications
Organizations find it challenging to implement a secure embedded chat in their applications and can require weeks of development to build authentication, token validation, domain security, and global distribution infrastructure. In this post, we show you how to solve this with a one-click deployment solution to embed the chat agents using the Quick Suite Embedding SDK in enterprise portals.
Create an intelligent insurance underwriter agent powered by Amazon Nova 2 Lite and Amazon Quick Suite
In this post, we demonstrate how to build an intelligent insurance underwriting agent that addresses three critical challenges: unifying siloed data across CRM systems and databases, providing explainable and auditable AI decisions for regulatory compliance, and enabling automated fraud detection with consistent underwriting rules. The solution combines Amazon Nova 2 Lite for transparent risk assessment, Amazon Bedrock AgentCore for managed MCP server infrastructure, and Amazon Quick Suite for natural language interactions—delivering a production-ready system that underwriters can deploy in under 30 minutes .