Case Study
The client is a leading foodservice provider, delivering high-quality food solutions across industries, workspaces, and communities.
The company needed to modernize their invoice system. They decided to replace their fragmented legacy processes with a centralized, scalable digital platform that could support high transaction volumes. The new solution needed to work seamlessly with existing systems, without disrupting ongoing workflows, batch processes, or the user experience.
The client also wanted to synchronize data in real time, maintain shared user sessions across legacy as well as modern environments, and support more than 500 concurrent users processing over 10,000 invoices daily. Additionally, it was critical to improve development consistency, strengthen security, and accelerate time to market.
Infosys adopted a spec-driven development (SDD) approach powered by Kiro, an agentic artificial intelligence (AI) integrated development environment (IDE).This approach enabled automated code generation based on structured specifications. It also helped align business requirements, technical architecture, and implementation throughout the delivery lifecycle.
Using modern technologies such as Angular, .NET, Amazon Web Services Cloud Development Kit (AWS CDK), Infosys delivered a centralized invoicing platform for the client.
The solution helped the client:
- Improve operational efficiency
- Reduce defects
- Boost developer productivity
- Strengthen scalability and traceability
- Improve compliance across the system
80%
Unit test coverage strengthened software validation and reduced defect leakage
10,000+
Invoices processed daily at enterprise scale
500+
Concurrent users supported with stable peak performance
50+
API endpoints generated to accelerate backend development
28+
AWS components deployed through automated infrastructure provisioning
14+
UI components created to streamline front-end development
Key Challenges
- Ensuring seamless coexistence between legacy and modern systems
- Synchronizing data in real time
- Supporting high-volume invoice processing at scale
- Enabling shared authentication across legacy and modern platforms
- Migrating workflows and batch processes without disruption
- Standardizing and scaling development processes
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Infosys Approach
Implemented SDD using Kiro AI enabling automated code generation from structured requirements and specifications.
Defined functional, technical, and visual specifications to align business requirements with implementation.
Enabled context-aware AI-Driven code generation across UI, backend, and cloud infrastructure layers to maximize development efficiency.
Managed specifications through Git-based version control to improve traceability.
Applied clean architecture principles to support modular and scalable application design.
Leveraged AWS CDK with continuous integration and continuous delivery (CI/CD) pipelines to automate infrastructure for deployment and infrastructure provisioning.
Embedded automated validation through unit test frameworks, acceptance criteria, and business rule checks to ensure defect-free code delivery, improve requirement compliance.
Established iterative refinement cycles to incorporate evolving business requirements.
The Solution
A modern AI-driven invoicing platform that enables automation, scalability, and seamless legacy integration
Infosys implemented a centralized invoicing solution using an SDD model powered by Kiro AI. Structured specifications guided automated code generation throughout the application lifecycle.
The team built the platform using:
- Angular 21 for the frontend
- .NET 10 for backend services
- AWS CDK for infrastructure provisioning
- AWS services, including Lambda and Aurora PostgreSQL, for efficient data processing and monitoring
The solution supported real-time data synchronization and seamless integration with legacy systems, ensuring uninterrupted business operations. The team addressed the challenge of real-time data synchronization without AWS DMS by architecting a cloud-native, event-driven framework utilizing Amazon EventBridge, AWS Lambda, and AWS Step Functions. This approach delivered near real-time data propagation, enhanced scalability and reliability, reduced dependency on specialized migration services, and optimized operational efficiency within the existing AWS ecosystem.
Custom AI-driven workflows enforced architectural standards, naming conventions, and logging practices, ensuring consistency across generated code. The approach also automated the generation of application programming interface (API) endpoints, user interface (UI) components, and infrastructure, significantly accelerating development cycles.
This resulted in a robust, scalable platform that addressed key operational challenges while improving development efficiency, traceability, and system performance.
Business Outcomes
Accelerated time to market by 40% through AI-powered development.
Reduced defects by 30% through consistent and standardized code generation.
Reduced code rework by 80% through automated code generation and structured specifications.
Boosted developer productivity by automating key development activities across the software lifecycle, enabling faster delivery of high-quality, production-ready solutions and reducing overall time-to-market.
Designed and implemented an integration framework that bridged legacy and modern systems, ensuring data consistency, operational continuity, and enhanced interoperability across the enterprise ecosystem.
Delivered a scalable and resilient cloud-native architecture capable of supporting high transaction volumes, concurrent user activity, and real-time data synchronization across systems. The solution ensured consistent performance, high availability, and operational reliability while providing flexibility to support future business growth.
Enhanced visibility though structured traceability across the development lifecycle.
Benefits
Enabling faster, more efficient, and scalable development through AI-powered engineering practices
Accelerates development through AI-driven code generation and automation.
Supports high transaction volumes and concurrent users with a scalable platform architecture.
Improves software quality by encompassing performance optimization, maintainability, reusability, automated testing, auditability, Scalability and SonarQube-based quality governance.
Enables seamless legacy integration without disrupting ongoing business operations.
Enhances traceability across requirements and implementation.
Increases developer productivity while reducing manual effort.
Testimonial
This milestone is a direct reflection of the team’s swift execution, strong attention to detail, and overall diligence throughout build and validation. The ability to move quickly while maintaining quality has been critical in achieving this point.
Thank you for the focus, collaboration, and commitment demonstrated. This forms a strong foundation as we continue to refine and scale the Payment Services Solution across the business.
Vice President
Operations, Client Organization
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