Manufacturing
Tech stack automation expedites script development by 3x
Manual processes across the multi-technology stack were severely affecting the script development cycles in terms of time, effort and cost. Iris application agnostic Test Automation framework and DevOps integration helped the client reduce the script development time and cost significantly.
Client
A leading building supplies manufacturing company
Goal
To support 30+ applications stack for UI, E2E, APIs, performance, mobile automation along with DevOps pipeline integration
Tools and technologies
.NET Core, PeopleSoft, Salesforce, WMS, JavaScript, Angular, Foxpro, C#, Selenium, SpecFlow, RestSharp, Nunit, Mobile Center/Emulators, Allure, Jira, Azure Pipeline, GitHub
BUSINESS CHALLENGE
The client had technology stacks comprising of diverse technologies that were difficult to manage. Substantial manual effort and time were spent on integrating the checkpoints, elongating the development process. Validating end-to-end business flows across different applications was the prime challenge. Reporting processes were also scattered across the entire application stack, making it vulnerable.
SOLUTION
Iris developed a robust application agnostic Test Automation framework to support the client’s multiple-technology stacks. Following the Behavior-driven Development (BDD) approach to align the acceptance criteria with the stakeholders, we built business and application layers of the common utilities in the core framework. Our experts identified E2E business flows to validate the downstream impact of the change and automated the entire stack through the shift-left approach. Azure DevOps integration enabled a common dashboard for reporting. The client attained complete version control to track production health and enforce strong validations.
OUTCOMES
Iris Automation solution enabled the client to surpass several business goals. The key outcomes of the delivered solution included:
- ~65% Increase in automation coverage
- 100+ Pipelines for in-scope applications across multiple environments
- 3700+ Test Automation scripts execution per sprint cycle achieved across applications
- 3X Faster script development of behavior-driven test cases
- Multi-day manual test effort reduced to a few hours of automated regression
- 70% Reduction in effort
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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
IT modernization boosts Insurance customer base
Insurance
IT modernization boosts Insurance customer base
Existing applications and business systems of a Fortune 500 Insurance Carrier were inadequate to meet customer expectations. Iris business systems transformation solution enabled the client to deliver a consistent customer experience, improving acquisition and retention significantly.
Client
A leading American Fortune 500 Insurance Services Provider, offering insurance, investment management and other financial products and services across the Americas and 40 other countries
Business Drivers
To advance business agility and customer experience through modernized business systems
Technologies and Frameworks
C#/.NET, JAVA, DevOps, Python, NodeJS, App Services, Managed Application Support
BUSINESS CHALLENGE
SOLUTION
OUTCOMES
- Infrastructure availability increased to 99%
- Optimized maintainability reduced the KYC process time by 75%
- Customer response time cut down by around 40%
- Promoter score incremented from 5 to 9 out of 10
- Customer retention improved by nearly 80%
- Customer acquisition increased by 65%
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Get in touchSFTR solution strengthened market leadership
Client
A leading provider of market data and trading services
Goal
Support complex regulatory reporting with automated solution
Tools and technologies
Java, Spring Boot, Apache Camel, CXF, Drools BRE, Oracle, JBoss Fuse, Elasticsearch, Git, Bitbucket, Sonar, Maven
BUSINESS CHALLENGE
SOLUTION
OUTCOMES
- Generating additional revenue from extending the new reporting services to 17 firms.
- Beating the industry benchmark (~91%), achieving a higher transaction acceptance rate (~97%), and match reconciliation at the trade repository.
- Supporting a high throughput of 6 million transactions per hour which is scalable up to 10 million.
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Get in touchCloud transformation increases business agility
Standards & Membership
Global Standards organization increases business agility
Existing applications supporting the business were built on monolith architecture with high technical debt. Iris transformed over 15 years old monolith applications into microservices with automated integration and cloud deployment to deliver faster MVPs.
Client
A non-profit global organization responsible for developing and maintaining standards, including barcodes with over 115 local member organizations and over 2 million user companies
Business Drivers
To deliver MVPs in shorter cycles, reduce Mean Time for Ticket Resolution (MTTR), and lower the total cost of ownership
Tools and technologies
C#/.NET Core, Python/DJango, NodeJS/Express, Azure WAF, Azure APIM, App Services, Azure Kubernetes Service, Azure Monitor, Application Insights
BUSINESS CHALLENGE
SOLUTION
Azure cloud offered some of the foundational features like container orchestration, app engine, integration, API gateway, monitoring and others, making cloud-specific modernization a natural choice.
Modernization strategy involved reverse engineering of on-premise applications, domain-specific grouping the product backlogs by, adopting domain-driven design, and using open source cloud-friendly software with CI/CD pipeline. We transformed the applications to a .NET core framework using cloud-native design principles on Azure cloud. The solution was developed using Azure App Services, front door and service bus following the agile development approach with two-week sprints.
OUTCOMES
Iris helped the client realize multiple business benefits, including higher agility, resiliency and cost-efficient IT operations. Key outcomes of this cloud modernization engagement are:
- Reduction in Mean Time for Ticket Resolution (MTTR) by 30%
- Increase in application and infrastructure uptime to 99.9%
- Real-time visibility of application and infra metrics
- Enabled bi-weekly MVP delivery
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Get in touchAnti-money laundering software saves $1M
Client
A top 5 global bank
Goal
Create a unified platform for anti-money laundering functions, analytics, and compliance implementations
Tools and technologies
Angular 5, Java, Open Shift, and DevOps
BUSINESS CHALLENGE
The client expanded its fraud and anti-money laundering (AML) monitoring functions, involving multiple lines of business and 15,000 employees. The scaled system led to the lack of standardization of frameworks and resultant adoption of disjointed, manual-intensive, and high-cost AML technology. The ongoing disconnect hindered the efforts of automating, consolidating; and implementing AML functions, enterprise analytics, and regulatory compliance efficiently throughout the organization.
SOLUTION
Iris optimized existing operations and technology investments by developing and implementing a unified point of access for the discrete AML functions, featuring micro-front-end architecture. Engineered to be horizontally scalable through containerization with common authentication and authorization gateways, the single user interface (UI) allows onboarding and control of multiple extended AML functions, including visualization of metrics.
OUTCOMES
- Hassle-free transition from multiple to a single UI
- Unified, streamlined user experiences with more effective sessions
- Creation of standardized deployment procedures for AML rules and applications
- Saving of nearly $1M on infrastructure costs
- Reduced infrastructure maintenance time
- Frictionless migration of applications to the cloud
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Get in touchReporting transformation with data science and AI
Client
One of the world's leading bank
Goal
Improve efficiency in disclosure and reporting
Tools and technologies
Python – SciPy, Pytesseract, NumPy, Statistics
BUSINESS CHALLENGE
The client relies upon a centralized operations team to produce monthly NAV (Net Asset Value) and other financial reports for its international hedge funds— from data contained in 2,300 separate monthly investment fund performance reports. With batch receipts of rarely consistent file formats – PDF, Excel, emails, and images— the process to read each report, capture key info, and, create and distribute new metrics using the bank’s traditional tools and systems was highly manual, time-consuming, error-prone, and costly.
SOLUTION
Iris developed a Data Science solution that rapidly and accurately extracts tabular data from thousands of variable file documents. Using a statistical, AI-based algorithm featuring unsupervised learning, it auto-detects, construes, and resolves issues for every data point, configuration, and value. Complex inputs are calculated, consolidated, and mapped as per predefined templates and downstream business needs, efficiently generating numerous, distinct, and required period-end financial disclosures.
OUTCOMES
- 90 - 95% reduction in operational efforts
- 99% accuracy in processing variable inputs
- Zero rework effort and cost
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Get in touchPowering shop floor efficiency with data analytics
Client
A leading diesel engine manufacturer
Goal
Reduce bottlenecks on the production line that arise from last-minute changes to orders and ensure compliance with build instructions
Tools and technologies
Windows, SQL Server, C#, .NET, ESB, HTML5, Angular, GitHub, JIRA, Visual Studio, and WebStrom
BUSINESS CHALLENGE
A diesel engine manufacturer based in Detroit faced frequent production delays. The cause of the inefficiency was its build book system. The manufacturer used a printed build book to communicate the specifications of the engine being built to the production floor. But, often after the book was sent to the shop floor, the manufacturer had to make changes to specifications. In such cases, those working on the production line would not be able to use the printed build book. Waiting for a reprinted book would halt production. As a result, the changes were usually communicated outside the manual and assumed to be followed. If the new specifications weren’t followed, they would be discovered only in quality assurance, leading to a loss of time and dollars.
SOLUTION
The client wanted a solution to resolve bottlenecks created by the printed build book and ensure compliance with build instructions. Ideally, the build book is dynamically pushed onto a handheld device assigned to the shop floor. The system would allow managers to update the specifications in the build book on the fly and alert the production team to the changes.
The device would also communicate the status of production to managers. For example, they would know which work center is working on an engine so that relevant pages of the build book could be updated and displayed to those work centers.
Iris custom-built an application that allowed real-time updates of the build book. It was designed to push the build book to work center operators on V10 devices (RFID transponders) with screen sizes ranging from 3 inches to 10 inches. The solution included a consolidated dashboard that provided the management near real-time visibility of work centers and the status of the engine production.
OUTCOMES
During Phase 1 of the project, we deployed 250 V10 devices. After a pilot run of four weeks, the client stopped printing build books; the handheld devices with our application were a superior alternative. The solution helped eliminate printing costs and allowed the manufacturer to accommodate last-minute changes in specifications without disrupting production.
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Get in touchPandemic pivot from physical to online tests
Client
A leading U.S.-based educational testing and assessment services company
Goal
Switch from in-person to online testing
Tools and technologies
AWS Serverless, Dynamo DB, Node.js, Typescript, Java, Jenkins, and Angular
BUSINESS CHALLENGE
Our client, which provides educational testing and assessment services, faced an existential threat with the pandemic-era lockdowns and social distancing
requirements. The testing centers it operated at physical locations were unable to open, leaving thousands of students worldwide in a state of uncertainty.
Our client had to switch from in-person testing centers to a digital-first or online
testing solution almost overnight. To achieve that, it had to migrate rapidly from legacy systems to the cloud. It also needed to ensure the sanctity and accuracy of its tests while delivering a seamless digital experience to its customers. Other challenges included the ability to dynamically scale up or scale down capacity in response to demand, maintain acceptable service levels, and enable thousands of
expert test raters’ to access and evaluate tests.
SOLUTION
Iris Software stepped in to facilitate a strategic digital pivot in the business model to secure the company’s future. Modernization efforts that were underway at the company even before the pandemic were accelerated as a digital upgrade became imperative. We shifted the data stored on legacy infrastructure was to the cloud. Our team developed a new testing interface that would work overnight across devices, geographies, and different internet connections. Switching the testing operations to the cloud with scalable capacity could help manage the surge in the number of users for the tests Iris also deployed automation and AI tools to deliver superior experiences for test raters. Those who faced challenges while attempting to grade tests were provided with an always-on AI-based solution to automate the troubleshooting and ticketing process.
OUTCOMES
The client now has scalable, digital-first testing capabilities to meet all its testing requirements.
- Cloud-based testing ensures that students, evaluators, and employees have access on-demand.
- The remote testing options are accurate, secure and safe from external threats.
- A strong focus on automation and user experience has allowed for optimized online offerings.
- Surges in demand for tests can be met rapidly and at scale with minimal intervention.
- Thanks to the always-on cloud offerings, service levels are easily maintained.
- The successful digital pivot has led to strong interest in a hybrid operating model to safeguard the business from threats in the future.
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Get in touchHow to transform your risk reporting mechanisms
Client
The client was a brokerage firm with a strong presence in the capital markets.
Goal
Improve risk reporting and calculations.
Tools and technologies
Dot Net, C#, Greenplum, JUX Proprietary Framework and HTML5.
BUSINESS CHALLENGE
SOLUTION
OUTCOMES
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Our experts can help you find the right solutions to meet your needs.
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