directly into the core of enterprise workflows—where it can deliver measurable productivity gains, faster innovation cycles

Infosys has taken a decisive step toward reshaping enterprise operations by announcing a deep strategic collaboration with Amazon Web Services (AWS), aimed at accelerating the real-world adoption of generative artificial intelligence across global organizations. Rather than positioning generative AI as a standalone technology experiment, the partnership focuses on embedding AI directly into the core of enterprise workflows—where it can deliver measurable productivity gains, faster innovation cycles, and more intelligent decision-making.

At the heart of this initiative is the convergence of Infosys Topaz, the company’s AI-first portfolio of services, platforms, and solutions, with Amazon Q Developer, AWS’s generative AI-powered assistant designed to support software engineering and enterprise development tasks. Together, these technologies are being used not only to modernize client-facing solutions but also to transform Infosys’ own internal operations at scale.

Reimagining the Enterprise from the Inside Out

Infosys is deploying Topaz across multiple internal functions, signaling a shift from experimental AI pilots to organization-wide transformation. Key business areas such as software development, human resources, recruitment, sales enablement, and vendor management are being redesigned with AI at their core.

One of the most significant impacts is being seen in the Software Development Lifecycle (SDLC). By integrating Infosys Topaz with Amazon Q Developer, development teams gain access to intelligent automation across multiple stages of the lifecycle. This includes automated generation of technical documentation, contextual code recommendations, real-time debugging assistance, intelligent testing support, and accelerated modernization of legacy systems.

The result is a development environment where engineers can focus more on design, architecture, and innovation, while routine and time-consuming tasks are handled by AI. This not only improves accuracy and speed but also enhances developer experience—an increasingly critical factor in attracting and retaining top technical talent.

Driving Industry-Specific Innovation

Beyond internal efficiency, the Infosys–AWS collaboration is designed to unlock new value for clients across industries such as manufacturing, telecommunications, financial services, consumer goods, and media and entertainment. By combining Infosys’ deep domain expertise with AWS’s scalable generative AI infrastructure, enterprises can deploy solutions that are both industry-aware and cloud-native.

A notable example is in sports and entertainment, where Infosys is leveraging generative AI capabilities through Amazon Bedrock alongside Infosys Topaz. These solutions enable advanced end-user engagement models, delivering real-time, personalized experiences to millions of fans globally. From dynamic content generation to tailored fan interactions, the focus is on creating immersive digital experiences that evolve continuously based on user behavior and preferences.

A Strategic View from Leadership

Commenting on the collaboration, Sandeep Dutta, President, AWS India and South Asia, highlighted that Infosys is demonstrating how generative AI can be adopted responsibly and effectively at enterprise scale. He emphasized that the combined power of Amazon Q and Infosys Topaz enables organizations to move faster, operate with greater agility, and extract differentiated value from AI investments—while still addressing the unique operational and regulatory requirements of global industries.

From Infosys’ perspective, the collaboration represents a fundamental shift in how enterprise value is created. Balakrishna D. R. (Bali), Executive Vice President and Global Services Head for AI and Industry Verticals at Infosys, noted that integrating Amazon Q Developer with Infosys Topaz is transforming not only development cycles but also traditionally complex functions such as HR, recruitment, and vendor ecosystems. According to him, the goal is to build an AI-first enterprise environment that augments human capability rather than replacing it—allowing organizations to navigate their next phase of transformation with speed, confidence, and precision.

By Advik Gupta