AWS Summit NYC
Meet our team at the Summit to learn how our latest Cloud, Agentic & Generative AI, Modernization, and Data & Analytics innovations are benefiting clients in key industries.
A team of technology and domain professionals from Iris Software, an AWS partner, is attending the AWS Summit on June 17, 2026, at the Jacob Javits Convention Center in New York City. The team is excited to share insights about our latest innovations in Cloud Engineering and Migration, Agentic and Generative AI, Application and Infrastructure Modernization, and Data & Analytics. All are foundational to the digital transformation, competitiveness and growth of enterprises in nearly every industry.
The group also can discuss the measurable positive outcomes, such as enhanced security, scalability, reliability, productivity, cost-efficiency, customer experience, decision-making, and risk management and compliance, that are benefiting our clients in key sectors such as banking, anti-money laundering, insurance, financial and professional services, and logistics.
Connect with our team at the Summit or the links below to learn more about our advanced technology solutions. Our attendees include:
- Ryan Fagan - Senior Client Partner, Financial Services
- Georgy Jose - Client Partner, Enterprise Services
- Abhineet Jha - Head of Insurance IT Services
- Vaibhav Brajesh - Client Partner, Insurance IT Services
For more insights, read about our Cloud, Generative AI, and Data & Analytics services and success stories, as well as our perspective papers on Cloud Migration Challenges and Solutions, How Gen AI Can Transform Software Engineering, and Succeeding in ML Ops Journeys
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Our experts can help you find the right solutions to meet your needs.
Get in touchA highly robust and reliable performance testing solution
Newly automated, AWS-based performance testing system better handles loads, bottlenecks, and SLA compliance, with near 100% reliability for the new architecture.
Client
Leading health coaching organization with a global network
Goal
To ensure automated performance testing for SLAs using a cloud-based system with near 100% reliability on new architecture
Tools and Technologies
JMeter, Datadog, AWS API Management, Dockers orchestrated with Kubernetes, Azure CDN
Business Challenge
The client’s Learning Management System and certification applications, built on a microservices-based architecture, required robust performance testing. Existing solutions struggled with encryption of APIs, varying network bandwidths, multi-region responses, and other critical parameters.
The goal was to create a cloud-based performance testing framework that could meet predefined service level agreement (SLAs), eliminate bottlenecks, ensure cost efficiency, and deliver near 100% reliability.
Solution
- Defined performance goals and identified bottlenecks
- Developed performance scripts using JMeter
- Ran bulk user load tests from three load generator machines using JMeter distributed load model
- Validated transactions across downstream applications through Validated transactions across downstream applications through load tests with an incremental and iterative approach; various network simulation techniques; load tests using Datadog APM; need-based spin-up of performance environment.
Outcomes
- Created 47 API test scripts using complex custom bean shell sampler and post processer
- Executed 30+ test cycles covering load, stress, scalability, endurance, spikes
- Identified nine critical performance bottlenecks including: middleware (API connector), database performance (mainly with indexes and orphan views)
- Automated shift left performance testing and integrated DevOps
- Ensured cost efficiency with optimized AWS ecosystem
- Enhanced overall system reliability from 73% to near 100
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A smart catalog for fast, trusted data output
Business catalog with AI-enhanced search and discovery streamlines data access, compliance and insights.
Client
An educational testing and assessment organization
Goal
To build and leverage a business catalog as a cost-effective solution for smart, user-specific output across varied datasets
Tools and Technologies
AWS Data Lake and Glue, Amazon S3 and Redshift
Business Challenge
The client needed a business catalog to enable faster discovery and better understanding of datasets in a cost-effective manner, while also generating user-specific outputs for authorized individuals. The initiative began as a pilot using a select set of data sources.
Solution
- Leveraged existing AWS Data Lake and Glue catalog for extended use
- Integrated native S3 and Redshift with the catalog
- Implemented pre-defined Glue data quality rules reporting for assets to generate a trust index before subscription
- Enhanced search and discovery with AI-generated asset metadata and summaries
- Enabled seamless authentication and authorization through SSO integration
- Automated workflow-based data access management, with human intervention only at approval stage
- Designed REST API-driven onboarding process
Outcomes
- Enabled discovery of new datasets through search and subscription
- Simplified access to reliable datasets, enhancing data science and BI for generating insights
- Established a compliance framework aligned with organizational standards
- Accelerated and improved decision-making through access to trusted data
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Quality evolution drives enterprise resilience
Quality Engineering (QE) is at an inflection point, with Gen AI and Agentic AI driving speed, resilience, and confidence at scale.
Quality evolution drives enterprise resilience
Quality Engineering (QE) is at an inflection point, with Gen AI and Agentic AI driving speed, resilience, and confidence at scale.
Quality Engineering Experience
Value We Provide
Measurable Productivity
Gains with Gen AI
Faster releases and higher engineering productivity are achieved by embedding Gen AI across test design, automation, regression optimization, and defect analytics, significantly reducing testing effort.
Predictable Quality and Reduced
Business Risk
AI-powered quality engineering improves release confidence by proactively identifying risks, reducing escaped defects, and ensuring consistent validation across platforms and distributed architectures.
Scalable, Autonomous Quality at Enterprise Level
Iris enables transition to autonomous, agent-driven quality engineering that scales across teams and geographies, supported by strong governance, responsible AI, and regulatory alignment.
Client Success Stories
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ACE-FINEOS integration for enhanced absence management
Insurer attains a comprehensive absence management solution for clients by integrating APIs, upgrading data formats, and ensuring system visibility and scalability.
Client
A leading mutual life insurance provider
Goal
Enhance absence management capabilities by integrating a SaaS platform, upgrading data exchange, and enabling scalable client support
Tools and Technologies
Java, Microservices, Spring Boot, APIGEE Gateway, FINEOS Admin Suite, Splunk
Business Challenge
The insurer aimed to enhance absence management capabilities for clients through the ACE (Absence Comprehensive Experience) program. This involved leveraging FINEOS, a third-party SaaS platform, to support leave plans such as: FMLA/ADA, Short- and Long-Term Disability (STD/LTD) and State-mandated Leave (SMD/PFL). Challenges included the accomplishment of seamless API integration with FINEOS; upgrading the LIMRA data-exchange format from version 1.0 to 2.0 and ensuring solution scalability.
Solution
- Developed new APIs to integrate internal systems with the SaaS platform, aligned with LIMRA 2.0
- Implemented Spring Boot to build scalable, maintainable services
- Deployed APIGEE for secure API management and efficient integration
- Adopted Splunk for real-time monitoring, observability, and faster issue resolution
Outcomes
- Comprehensive new absence management solution for wide range of external clients and partners
- Enhanced accuracy and interoperability with LIMRA 2.0 upgrade
- Scalable API framework to support future enhancements and client onboarding
- Enhanced system performance providing better monitoring and rapid issue resolution
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Unified platform automates investment deal data
Self-service web portal built with API integration replaces legacy SharePoint system, delivers improved UX, cost-efficiency, and real-time reporting for teams managing deals and issuer data.
Client
Large NY-based insurance and investment company
Goal
Develop a modern, scalable system to manage deal and issuer data efficiently while eliminating legacy costs and inefficiencies
Tools and Technologies
.Net Core 6(API) , Background Service, Angular 14, SQL Server
Business Challenge
The client’s SharePoint-based system for managing deal and issuer details faced major limitations. As data volume and user count increased, the platform became slow, difficult to customize, and expensive to maintain. Integration with other critical tools was limited, reducing efficiency and scalability. These constraints created risks to effective deal management and hindered the ability to scale operations.
Solution
- Built a modern web-based system using Angular (front-end), .NET Core (back-end), and SQL Server (data storage)
- Developed a self-service portal for internal teams to easily manage deal and issuer data
- Automated data ingestion, cleaning, and storage with a background service for accuracy and consistency
- Integrated Splunk and Application Insights to enable real-time monitoring of system health and performance
Outcomes
- Substantial cost savings by eliminating SharePoint licensing and maintenance expenses
- Improved performance and scalability with faster system response and ability to support more users
- Enhanced user experience through a modern, intuitive, and efficient interface
- Increased automation, reducing manual tasks and errors while saving time
- Real-time reporting and accurate deal projections for better decision-making
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Reliable Data Governance at Scale
Strengthening governance through standardized workflows, automation, and compliance-focused controls for reliable data management.
Client
A leading mutual life insurance provider
Goal
Implement structured workflows to ensure reliable, compliant, and scalable data governance across complex and growing data products
Tools and Technologies
Collibra
Business Challenge
The insurer needed to strengthen its data governance framework to support the growing complexity and volume of data products and information. This required the establishment of governance best practices to improve the quality, trustworthiness and management of data assets across systems, as well as structured oversight to meet evolving regulatory requirements.
Solution
- Designed structured workflows to manage the lifecycle of data products with consistency and accountability
- Automated governance processes to streamline collaboration across teams and improve efficiency
- Standardized data-related tasks and controls to ensure uniformity and adherence to best practices
Outcomes
- Increased scalability and reliability of governance framework, ensuring consistent data quality
- Improved user experience with simplified and intuitive governance workflows
- Strengthened compliance through embedded controls and automated processes
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Advanced App Engineering transforms broker bank data
New, end-to-end application for managing insurance producers’ banking and compensation details ensures accuracy and efficiency.
Client
A leading mutual life insurance provider
Goal
Rebuild the legacy system platform into a scalable, user-friendly platform with advanced functionality for business teams
Tools and Technologies
React JS, Node.js, PostgreSQL, Bitbucket, Jenkins
Business Challenge
The organization faced a critical need to modernize its legacy mainframe system, used to maintain the banking details of brokers and producers for compensation-related purposes. It lacked flexibility, scalability, and the ability to deliver modern user experience. Business stakeholders sought a system rebuild using a modern tech stack to address the limitations of the existing platform and improve usability and functionality for key teams. The goal was to create a system that could scale with the organization’s needs, streamline operations, and provide an intuitive experience for users.
Solution
- Built the new application from scratch with scalable backend services and intuitive frontend UI
- Designed a modern interface using React JS for the Data Capture System (DCS) to manage producer and bank details efficiently
- Developed robust backend services using Node.js for performance and scalability
- Enabled secure and seamless API integration through Apigee
- Leveraged PostgreSQL for reliable and flexible database management
Outcomes
- Scalable and reliable system supporting future growth and consistent performance
- Responsive and intuitive UI delivering enhanced user experience compared to the legacy system
- Advanced functionality allowing users to easily add, edit, filter, and search broker and bank details
- Faster development cycles achieved through modern frameworks and tools, accelerating deployment timelines
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API integration secures news feed portal
Custom-integrated, AWS-hosted portal with secure API, SSO integration and user-friendly interface delivers timely financial news and lowers costs.
Client
Large NY-based life insurance and investment company
Goal
Develop a secure AWS-based portal to deliver financial news with API integration, SSO, and consistent user experience
Tools and Technologies
NET 8.0, ASP.NET MVC, AWS, EC2, Lambda, S3, SES, API Gateway
Business Challenge
The client needed a custom, AWS-hosted application to deliver financial news via external API integration. The solution had to support secure access for both internal and external users with Ping-based SSO. Additionally, the interface required UI/UX alignment with an existing legacy platform for consistency. Timely news delivery also was critical, compelling automated data refreshing every 15 minutes to ensure accuracy and relevance.
Solution
- Automated data ingestion using AWS Lambda to fetch and process news from external API every 15 minutes
- Developed an ASP.NET MVC application on Amazon EC2 with a user-friendly dashboard, filtering, and search capabilities
- Integrated Ping Identity for secure, role-based SSO access for internal and external users
- Secured communication with external API through IBM DataPower and mutual TLS
- Designed UI/UX to mirror the legacy platform for a seamless and familiar experience
Outcomes
- Reduced licensing costs by replacing full third-party access with targeted API usage
- Gained full application ownership and flexibility for future enhancement and customization
- Strengthened security with mutual TLS and DataPower integration
- Simplified authentication and authorization through SSO integration
- Improved operational flexibility with configurable refresh intervals and archiving strategies
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New document workflow portal boosts productivity
Modernized document workflow system with advanced search capabilities, intuitive UI, and seamless integration improves efficiency and reliability.
Client
A leading mutual life insurance provider
Goal
Build a robust, user-friendly portal to streamline document review workflows with seamless integration and advanced search
Tools and Technologies
React JS
Business Challenge
The insurer needed a robust solution to streamline workflow management for documents requiring editing or review before being published, stored, or delivered to customers. This required building a new, user-centric portal that integrates effortlessly with existing applications and systems and provides internal users with an intuitive and efficient process for managing document workflows.
Solution
- Upgraded front-end features to improve usability and performance
- Designed an advanced filtering interface for more precise document search
- Developed reassignment functionality with intelligent, suggestive search capabilities
- Enhanced case manager search to enable faster and more accurate results
- Optimized API integration for smooth communication between frontend and backend systems
Outcomes
- Streamlined workflows resulting in faster and more reliable document management
- Greater filter accuracy enabling precise document and case manager search
- Modern, intuitive interface boosting user satisfaction and productivity
- Seamless performance of search and reassignment features without slowing the system
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