

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

Our experts can help you find the right solutions to meet your needs.

Modernizing Java & Spring Boot with iRenew
Learn how enterprises can modernize legacy Java and Spring Boot apps using a semi-automated approach that improves performance, reduces tech debt, and accelerates time-to-market.


Modernizing enterprise applications is a complex challenge. It often requires manual or semi-automated refactoring to assess the impact of upgrades, automation, and cloud migration. Key considerations include cross-platform compatibility, performance, security, scalability, and talent availability.
Many enterprise systems—especially those built on older versions of Java and frameworks like Spring Boot—are reaching end-of-life. Java 8 and Spring Boot 1.x/2.x, for example, no longer meet today’s security and performance demands, prompting organizations to consider modernization.
Iris iRenew offers a structured, semi-automated methodology to upgrade legacy Java applications. By combining open-source tools, refined processes, and deep migration expertise, iRenew drives 11-20% efficiency gains by automating key phases like discovery, refactoring, and testing.
Read our Perspective Paper for a detailed playbook on the modernization journey, including key phases, measurable benefits, and a real-world case study.
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Our experts can help you find the right solutions to meet your needs.
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.

How Generative AI adds business value
Generative AI can address problems that traditional approaches cannot solve,
improve customer and employee satisfaction, and boost productivity and quality.
How Generative AI adds business value
Generative AI can address problems that traditional approaches cannot solve,
improve customer and employee satisfaction, and boost productivity and quality.
Generative AI Experience
Document Intelligence
and Automation

Leverage AI-driven Q&A, document summarization, and automated data extraction to streamline the processing of large volumes of complex documents. Our solutions simplify access to critical information, enabling faster decision-making, enhanced compliance, and reduced manual effort across information-heavy documents such as policies, processes, procedures and reports
Configurable, Enterprise-ready AI Platforms

Next-generation
Conversational Assistants

Natural language interfaces across documents, data and APIs unify access to structured and unstructured information. From wealth management, insurance and commercial lending to market risk and AML, our AI-driven Virtual Assistants enable seamless access to critical insights and streamline interactions by summarizing data, automating report generation, and answering complex questions with high accuracy
AI Assistant for Software Engineering

Coding assistants are great, but what about the rest of the engineering lifecycle? An extensible Gen AI-powered software engineering toolkit, featuring browser and IDE extensions, can seamlessly integrate with repositories like GitHub and JIRA. Designed to enhance overlooked areas of the software development lifecycle, it streamlines requirement validation, test case generation, and standards conformance, improving experience, and boosting productivity and quality
Agentic AI

From business use cases to software engineering, agentic AI has significant potential to dynamically leverage Gen AI and related technologies, such as MCP and A2A, for planning and automating complex activities using multiple agents, APIs, and related resources and prompts. While initial agentic AI use cases were based on static workflows, recent frameworks and models enable handling of more complex and diverse sets of use cases
Value We Provide
Scalable Approach to
Generative AI Adoption

Our structured approach to adoption often starts with Proof of Concept in a sandbox environment, evolving to a pilot, and ultimately scaling into full production-grade solutions. We thus enable organizations to scale their use of Generative AI, empowering them to address a wide range of use cases while maximizing ROI.
Accelerating Business Impact
and Improving Decision Intelligence

We streamline workflows by integrating AI into document processing, risk analysis, compliance reporting, and customer support. Our automation solutions reduce manual effort, enhance accuracy, and enable faster decision-making across business functions.
Deep Expertise in
Enterprise AI Transformation

With extensive experience in implementing AI-driven solutions, we enable enterprises to progress beyond isolated use cases and establish scalable, secure, and responsible AI adoption. Our solutions drive efficiency across knowledge management, automation, and decision-making while ensuring seamless integration with enterprise systems.
Client Success Stories
Tools & Technologies
























































How Gen AI can enhance software engineering
Upcoming Events
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Meet our team at the AWS Summit in NYC July 2025

An Iris team with extensive technology and domain experience is attending the AWS Summit on July 16, 2025, at the Jacob Javits Convention Center in New York City. Our professionals are excited to discuss the latest innovations and operational successes in Cloud Engineering, Application and Infrastructure Modernization, DevOps, Generative AI and Data Science & Analytics.
Contact our team at the AWS Summit or links below to learn more about our approach and the advanced technology solutions that are foundational to digital transformation. Outcomes from leveraging emerging tech include enhanced security, scalability, reliability, productivity, cost-efficiency, customer experience, decision-making, and compliance, which support the business competitiveness and growth journeys of enterprises in nearly every industry.
Connect with our team at AWS Summit:
- Prem Swarup – Vice President, Head of Data & Analytics Practice
- Ryan Fagan – Senior Client Partner, Banking & Financial Services
- Abhineet Jha – Head of Insurance IT Services
- Venkat Laksh – Head of Insurance IT Sales
- Glenn DeGeorge – Client Partner, Enterprise Services
- Samrat Ghosh – Client Partner, Enterprise Services
- Srikanth Jangam – Senior Client Partner, EdTech & Media
- Siddharth Garg – Client Partner, Enterprise Services
- Mayank Khanna – Delivery Partner, Enterprise Services
- Parijat Sharma – Client Partner, Enterprise Services
For more insights, read about our Cloud, Data & Analytics, and Generative AI 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 touchEvent 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.
Contact
Our experts can help you find the right solutions to meet your needs.
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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Our experts can help you find the right solutions to meet your needs.
Get in touch
Application Managed Services (AMS) for enterprise applications
These services encompass development, maintenance, and management, ensuring applications align with business objectives and deliver measurable value.
Application Managed Services (AMS) for enterprise applications
These services encompass development, maintenance, and management, ensuring applications align with business objectives and deliver measurable value.
Service Offerings
Portfolio Assessment and Consulting
Cloud migration roadmap and implementation plan to meet business goals
Cloud Re-platforming
Cloud-ready applications built on a modern tech stack that are resilient and scalable with reduced TCO
Cloud Re-factoring
Applications developed on cloud-friendly architectures with new features to meet growth objectives
Cloud-native Development (Rewrite)
Born-in-the-cloud application developed with reimagined user experience and 12-factor design principles
Service Offerings
Next-Gen Support

Leveraging Automation and Generative AI to minimize human intervention, enhance service reliability, and deliver context-aware solutions in application support. This streamlines repetitive tasks, accelerates issue resolution, and enables proactive problem prevention, driving efficiency and improved user satisfaction
Value We Provide
Continuous Improvement

We drive continuous improvement across the development lifecycle by leveraging optimization and automation to enhance efficiency, reduce operational costs, and improve application performance.
24/7 Support

Our multi-geo teams provide round-the-clock support, ensuring consistent service coverage across time zones. This model enhances responsiveness, minimizes downtime, and delivers seamless operations globally.
Talent

We offer skilled resources and expertise to effectively support your critical business applications/systems, enabling you to focus on innovation without getting bogged down in routine tasks.
Client Success Stories
Tools & Technologies
























































How Gen AI can enhance software engineering
Contact Us

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We appreciate you contacting us. We will get back in touch with you soon.
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