Client
A leading mutual life insurance provider
Goal
Ensure seamless integration of new services with legacy systems, offering enhanced access without disruption
Tools and Technologies
Java 11 & 17, Spring Boot, AWS, Jenkins, Apigee Gateway, Splunk Dashboards, Jira, Confluence, Microservices
Business Challenge
The client operated its platform using a legacy infrastructure, which had some limitations. It desired to introduce new services on a modern platform, without disrupting the existing legacy infrastructure or changing the current customer interface.
The goal was to create a compatible schema of responses from both platforms and to ensure that the integration did not affect overall service availability during and after the transition.

Solution
- Built an API façade layer to allow intelligent routing and appropriate directing of traffic between legacy and FINEOS services
- Enabled feature toggles for dynamic switching between legacy and FINEOS services
- Ensured a controlled rollout and rollback without code redeployment
- Implemented a backward-compatible schema design for consistent responses across systems
- Provided error handling and fallback mechanisms for graceful degradation
- Maintained continuity of service in case of failures in the new system

Outcomes
- Increased scalability and enabled support for higher loads
- Improved system uptime and delivered greater reliability
- Provided seamless user experience and minimal disruption
- Enhanced customer trust and satisfaction
- Allowed testing and deployment of features incrementally
- Ensured greater operational flexibility
- Upgraded monitoring and traceability for proactive issue detection and resolution
- Created strong foundations for future enhancements and service expansions
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Modern system for insurance data management
Client
A large NY-based life insurance and investment company
Goal
Create a secure, automated solution for data ingestion and a robust framework for distribution across channels
Tools and Technologies
Python, PySpark, AWS Glue/Redshift/Lambda/S3/Aurora, Stonebranch, Jira, Github
Business Challenge
The client used a legacy product data infrastructure (PACE) and other systems that provided neither fully-secure access nor enabled efficient quality checks. This affected system integration and data ingestion and distribution.
Workflows and checks were not adequately automated, and they did not offer a reusable framework to generate and deliver outbound data files aligned with business requirements.

Solution
- Created reusable and scalable ETL/ELT pipelines using Python and AWS services
- Integrated Stonebranch for orchestration and automated job scheduling, with monitoring mechanisms and alerts
- Tuned Redshift queries and optimized data ingestion processes to reduce latency and improve throughput
- Defined data specifications and output formats as per business needs
- Built a configurable pipeline to create dynamic CSV/Excel files from Redshift views
- Automated file delivery via email/SFTP monitored and orchestrated by Stonebranch

Outcomes
- Improved data distribution and a reusable framework for ingestion and distribution of data across existing and new products
- Streamlined operations and improved data accessibility
- Enhanced performance and scalability
- Ensured better data quality and governance with automation and structured reusability
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Modern insurance product data services platform
Client
A large NY-based life insurance and investment services provider
Goal
Create a unified, scalable architecture for secure, standardized sharing of data with downstream services
Tools and Technologies
Java 21, Spring Boot, AWS, Jenkins, Stonebranch, Jira, Microservices, Redshift, Aurora, DynamoDB, Angular, JS, MYSQL, EKS, SQS
Business Challenge
The client used a product data mart that lacked a secure, standardized method to share data with downstream services. This affected data governance and consistency across applications. It also faced the risk of disrupting tightly integrated legacy data flows while shifting from a legacy PACE system that supports critical AEM microservices to a PDP mart.
It needed a new system that is scalable, and the modernization process had to be carried out with minimal disruption to existing systems.

Solution
Implemented a dual-solution strategy to modernize data access and delivery. Key elements included:
- Built a microservices-based platform and deployed on AWS
- Enabled secure, flexible API access to the product data mart using tagged identifiers
- Ensured a scalable design with minimal code changes for expansion
- Allowed existing AEM microservices to operate without changes during and post-transition

Outcomes
- Improved efficiency and security by enabling standardized, governed access to product and entity data
- Achieved faster delivery and reduced manual effort
- Ensured seamless integration while modernizing the backend
- Maintained front-end stability of AEM microservices
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Modern insurance platform for loan processing
Client
A large NY-based life insurance and investment company
Goal
Modernize product data management services to enhance loan processing and improve user experience
Tools and Technologies
Angular 15, .Net 4.8, .NET 8.0, AWS EC2, SQL Server, PostgreSQL, Stonebranch, SharePoint, IIS
Business Challenge
The client operated a critical legacy application for loan processing, which had significant operational inefficiencies and shortcomings in user experience. It hindered the speed and accuracy of loan disbursements, affecting both internal operations and customer satisfaction.
The goal was to modernize the platform with scalable solutions that could enable secure distribution of critical data and better governance, while integrating smoothly with downstream applications.

Solution
- Implemented a holistic modernization approach with a focus on system integration, functional enhancements, and UI transformation
- Streamlined deal creation and approval through a third-party system with robust verification and compliance features
- Enabled multi-loan support under a single deal
- Ensured consistency by introducing a standardized component library with reusable UI components
- Revamped the interface with intuitive design, responsive layouts, and improved user experience

Outcomes
- Enhanced efficiency, scalability, and user-centric loan operations
- Improved ROI through greater efficiency, better user experience, and agility
- Reduced verification effort by 30–55% and enabled focus on higher-value tasks
- Streamlined processes and minimized data duplication
- Ensured consistent design and efficient development
- Increased customer satisfaction, with a projected 50% rise in retention
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Accelerating digital transformation for insurance
Our advanced, AI-powered capabilities enable a holistic customer experience, accelerate time-to-market, ensure improved risk & compliance, and deliver greater ROI for all insurance segments.
Accelerating digital transformation for insurance
Our advanced, AI-powered capabilities enable a holistic customer experience, accelerate time-to-market, ensure improved risk & compliance, and deliver greater ROI for all insurance segments.
Insurance Experience
Life & Annuities
Leveraging our expertise to deliver great user experience for insurers’ customers and integration of core insurance platforms with internal and external systems, improving operations, compliance, and customer experience across the value chain
Group Benefits & Wellness
Helping insurers modernize their benefits platforms; build self-service portals; boost member engagement; streamline processes across enrollment, claims, billing; and integrate with broker networks, to deliver seamless experiences through innovative, scalable solutions
Property & Casualty
Driving innovation with no-code wrappers for core systems and helping insurers improve market reach and share through seamless integration with partner carriers for underwriting and policy management
Investment & Asset Management
Modernizing finance with scalable, intelligent solutions: migrating to Singularity, centralizing on BNY Eagle Access, enhancing real estate systems, streamlining product data. Unlock unified reporting, efficiency, and future-ready performance
Reinsurance
Helping reinsurers manage risks, especially amid rapid changes and uncertainty, with AI-enhanced modeling and automation. Improving compliance tracking through streamlined data governance and management
Specialty Insurance
Reducing timelines for underwriters, from submission intake to the quoting process, with conversational Gen AI assistants. Building advanced reporting hubs to boost efficiency, enable timely and quick decisions, and accelerate growth. Leveraging Agentic AI to streamline claims intakes
Client Success Stories
Service Offerings
Domain-specific Offerings
End-to-end InsurTech solutions, enabling agile business operations across business lines
Technology Solutions
Frictionless digital transformation of insurance processes and systems through advanced tech
Insurance Analytics Services
Customer and market data analysis, real-time visualizations and actionable insights
Tools & Technologies
How Gen AI can enhance software engineering
Tools & Technologies
Our Partners
How Gen AI can enhance software engineering
News & Events
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Get in touchMove to Singularity platform benefits insurer
Client
Large NY-based life insurance & investment company
Goal
Modernize multiple legacy accounting systems to achieve operational efficiency, scalability and improved data analytics
Tools and Technologies
Python, Oracle, SQL Server, AWS Server, Jira, Stonebranch
Business Challenge
The insurer sought a comprehensive cloud-based solution using modern infrastructure and automation to address key challenges. The Singularity platform was selected to integrate investment data from multiple accounting systems, including SS&C CAMRA, Blackrock, IDCFX, Mackay, and Marked Price, into a unified solution. The project aimed to modernize the insurer’s legacy Debt & Derivatives system, which was limited in functionality, lacked scalability, and hindered business growth due to its outdated, on-premises infrastructure.

Solution
- Seamless integration of data into and out of the Singularity platform enabled streamlined operations
- Stonebranch Universal Automation Controller on AWS was leveraged to automate and schedule data extracts, ensuring timely and reliable data availability
- Robust data integrity checks were embedded throughout the pipeline to maintain high-quality outputs
- Tableau was integrated to deliver interactive dashboards, enabling data-driven decision-making across business functions

Outcomes
- The solution delivered greater scalability, system reliability, and data accuracy
- The streamlined data ecosystem significantly enhanced overall user experience
- Unified data and interactive Tableau dashboards established a single source of truth, supporting more informed business decision-making
- The modernized platform enabled the generation of complex business-critical reports that were not possible with the legacy system
Our experts can help you find the right solutions to meet your needs.
Legacy System Modernization for Cloud
Client
Large NY-based life insurance and investment company
Goal
Modernize technology systems in commercial real estate functions to reduce bottlenecks, response times and vulnerabilities
Tools and Technologies
.NET 8, Angular 17+, Docker, Kubernetes, GitHub, AWS
Business Challenge
The insurer’s commercial real estate mortgage unit required upgrades to the technology systems supporting its loan processing and cash management capabilities. Reliance on .NET Framework 4.8 and Angular 9 posed significant limitations, including restricted agility, difficulty adopting microservices, and challenges attracting top engineering talent. The existing monolithic, non-cloud-native architecture led to performance bottlenecks and slow response times. Outdated protocols created security vulnerabilities, while limited DevOps integration and complex debugging made cloud migration costly and inefficient.

Solution
- Migrated the technology stack to .NET 8 and Angular 17+ for better cross-platform compatibility and long-term performance
- Adopted Docker and Kubernetes to enable scalable, cloud-native deployments on AWS
- Implemented CI/CD automation using GitHub Actions for faster and more secure release cycles
- Refactored legacy application into a modular monolith and microservices for agility and maintainability

Outcomes
- Improved application performance and responsiveness delivered faster, smoother user experiences
- Boosted developer productivity and team collaboration and streamlined testing and onboarding
- Strengthened security and compliance with up-to-date platforms and better integration with security tools
- Enabled scalable, reliable, simplified deployments using containerization and orchestration
- Reduced long-term maintenance effort and costs through clean, modular code and better monitoring
Our experts can help you find the right solutions to meet your needs.
Eagle Access Data Platform Transforms Accounting
Client
Large NY-based life insurance and investment company
Goal
Consolidate multiple accounting systems into a centralized, reliable data warehouse to improve reporting and decision-making
Tools and Technologies
BNY Eagle Access, Python, Oracle, AWS EC2 and S3, SQL Server, Jira, Stonebranch
Business Challenge
The insurer faced growing inefficiencies due to siloed accounting systems that lacked integration, consistency, and scalability. Reporting processes were time-consuming, error-prone, and lacked real-time visibility—hindering timely business and investment decisions. A centralized solution was needed to ingest and unify data from disparate systems like SAP GL, Singularity, and Loan Management into a single, trusted platform to support strategic financial insights and reduce operational complexity.

Solution
- Built a centralized accounting data warehouse using the Eagle Access secure private cloud environment
- Ingested and standardized data from SAP GL, Singularity, and Loan Management systems
- Used AWS EC2, S3, and Stonebranch Universal Automation Controller for cloud infrastructure and job orchestration
- Enabled real-time reporting via Tableau integration and migration of legacy dashboards
- Improved data accuracy and consistency through robust validation and automation

Outcomes
- Created a unified source of truth for all accounting data
- Enabled faster, more accurate reporting and analytics, improving business and investment decision-making
- Reduced data silos and improved accessibility across systems
- Minimized infrastructure complexity and operational risk with secure private cloud hosting
- Enhanced efficiency through automated data processing and orchestration
Our experts can help you find the right solutions to meet your needs.
Event partner at Open Banking Expo Canada 2025
We are proud to be an event partner at Open Banking Expo Canada 2025, contributing to key conversations on how API ecosystems are reshaping the future of financial services. Connect with our team at the expo on June 17, 2025, at the Metro Toronto Convention Centre in Ontario, Canada.
Iris Software is focused on bringing value and transformative technology to leading global banks and financial services (BFS) providers, including those in the personal banking and payments sectors.
Subramanian Viswanathan, Associate Vice President, Financial Services Practice at Iris Software, will moderate a Powerhouse Debate titled ‘Open Banking & API Banking: Unlocking the future of financial services’ with leaders from BMO, TD, RBC, and Scotiabank. “The future of financial services lies in building connected ecosystems where data moves securely, and value moves instantly.” - Subramanian Viswanathan.
For decades, Iris has accelerated the digital transformation journeys of major global and Canadian banks and financial services and payments enterprises. Connect with our experts to learn how our solutions in AI / ML, Application Modernization, Automation, Cloud, Data Science, DevOps, Enterprise Analytics, Integrations, and Quality Engineering improved clients’ data quality, reliability and scalability; platform and systems efficiency; user interfaces and experiences; insight extraction and decision-making; and regulatory compliance.
For more information on the benefits of our future-ready solutions, visit Iris Software Banking and Financial Services.
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Get in touchJoin us for Reuters Future of Insurance USA 2025
Reuters Events hosts this year’s annual Future of Insurance USA Summit on June 12-13, 2025, in Chicago, Illinois. The theme is Rebuild Trust at the Top, with a focus on the value that AI-powered tools, customer-centric products, and strategic collaborations can bring to insurers in all sectors of the industry. The emphasis on these topics are driving 500+ insurance leaders, innovators, and top technology providers like Iris Software to participate in the Summit.
Abhineet Jha, Senior Client Partner, will represent our Insurtech Team at the event.
Four main topic areas will be addressed in the presentations and networking discussions in support of the theme of the 2025 FOI Summit:
- Technology Innovation and Transformation, focusing on AI and Data Analytics
- Risk Management, including cyber threats and regulatory compliance
- Customer Experience, developing seamless UX, personalization, and enhanced communications
- Industry Collaboration, building strategic partnerships
These areas are a top focus of the Insurtech services and solutions that Iris successfully provides to leading carriers in property, casualty, specialty, and life and annuity insurance.
Discuss the evolving insurance landscape, Insurtech innovation, and your technology priorities with Abhineet Jha, our seasoned insurance expert, at Reuters Future of Insurance USA 2025. Learn how insurers are partnering with Iris and applying our solutions in AI/ML, Application Modernization, Automation, Cloud, Data Science, Enterprise Analytics, and Integrations to advance their digital transformation goals.
You can also contact our team and read more about our InsurTech Services and Solutions and successes in future-proofing insurance enterprises here: Insurance Technology Services | Iris Software.
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