Company: INFY
Filing Date: 2025-07-01
Form Type: 20-F
Source: 0000950170-25-091925
Chunk: 66

Company: Infosys Ltd
Filing Date: 2025-07-01
Form: 20-F
Item: Item 4
Chunk 66
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. It unlocks information from legacy systems, simplifies decision-making, and reduces dependency on niche skills, saving effort and enabling faster time-to-market. It also integrates with disparate ALM tools for data-driven insights that help improve sprint velocity, release predictability and product quality.
Infosys Quality Engineering Services

Infosys Quality Engineering delivers domain-specific services, solutions, and platforms that help enterprises elevate the quality and reliability of their digital transformations, while accelerating test cycles and adapting to evolving quality requirements. Our AI-first approach empowers organizations to achieve superior business outcomes by integrating intelligent, automated, and scalable quality engineering practices throughout the software lifecycle. Key pillars of our approach are:
People:

Our team of experienced quality engineering professionals brings deep expertise in testing, automation, AI/ML, and continuous delivery. They collaborate closely with development, operations, and business teams to drive measurable results.
Process:

We have evolved from traditional, phase-gated QA to agile, DevOps-driven practices. By embedding quality early and throughout the lifecycle, emphasizing shift-left testing and continuous integration/testing, we deliver faster feedback, reduce defects, and boost efficiency.
Technology:

Leveraging AI/ML-based predictive analytics, advanced test automation frameworks, and cloud-native solutions, we provide rapid, scalable, and reliable outcomes. Our platform-driven approach seamlessly integrates with CI/CD pipelines, offering real-time insights for continuous improvement.
Three-Horizon Service Model:

We continuously monitor market trends and clients need to identify new investment areas and address emerging quality engineering challenges.
•Horizon 1: Mainstream QE services addressing current enterprise needs
•Horizon 2: Services gaining significant traction and maturity
•Horizon 3: Emerging and early-stage services, focused on future growth

Strategic Partnerships:

Our four-tiered Quality Engineering Partnership (QEP) model enhances value delivery:
•QEP1: Productivity improvement partners (e.g., Tricentis, UI Path, Microfocus) for automation across the QE lifecycle
•QEP2: Domain/functionality package providers (e.g., SAP, Salesforce, Adobe) to deepen industry expertise
•QEP3: Cloud service providers (e.g., AWS, Azure, GCP) to support cloud-native digital stacks
•QEP4: AI solution providers and startups (e.g., OpenAI, Nvidia) to drive AI-first offerings

These partnerships enable us to deliver greater efficiencies, resolve issues faster, and provide innovative solutions tailored to client needs.

Data and Analytics

Our Data Analytics and AI (“DNA”) practice has been