Infosys and AWS Forge AI Alliance to Reshape Enterprise Operations

BENGALURU, India – January 07, 2026 – Global digital services leader Infosys today announced a strategic collaboration with Amazon Web Services (AWS) aimed at accelerating the adoption of generative artificial intelligence across the enterprise sector. The partnership integrates Infosys's AI-first suite, Topaz, with AWS's powerful generative AI assistant, Amazon Q Developer, in a move designed to transform both internal operations and client-facing solutions, signaling a major push to make advanced AI a practical reality for businesses worldwide.

The announcement sent a positive signal to the market, with Infosys shares rising over 1.5% on the Bombay Stock Exchange, reflecting investor optimism about the partnership's potential to capture a significant share of the burgeoning enterprise AI market.

A Strategic Play in the Enterprise AI Race

This collaboration is more than a simple product integration; it represents a critical strategic maneuver in the highly competitive landscape of enterprise AI services. As businesses globally seek to harness the power of generative AI, major IT consultancies are racing to form alliances with cloud hyperscalers. This trend is exemplified by similar partnerships, such as Wipro's expanded collaboration with Google Cloud, underscoring the industry-wide consensus that deep integration between service providers and cloud platforms is essential for delivering scalable AI solutions.

By combining Infosys's deep industry expertise and its comprehensive Topaz platform—which boasts over 12,000 AI assets and 150 pre-trained models—with the robust, developer-focused capabilities of Amazon Q on the world's leading cloud platform, the two companies are positioning themselves to set a new standard for enterprise transformation. The initiative aims to provide a clear pathway for companies in sectors like manufacturing, telecom, and financial services to move from AI experimentation to full-scale implementation, driving operational agility and creating new sources of value.

Sandeep Dutta, President of Amazon Web Services (AWS) India and South Asia, commented on the collaboration's ambition, stating, "Infosys is setting a new benchmark for enterprise transformation through the strategic adoption of generative AI at scale. The combined strengths of Amazon Q and Infosys Topaz will help organizations innovate, achieve operational agility, and unlock differentiated value for their clients."

Transforming Workflows from Code to Contracts

A key aspect of the initiative is Infosys's commitment to deploying these integrated AI tools across its own vast operations, serving as a real-world testbed for enterprise-scale AI adoption. The company is leveraging the combination of Infosys Topaz and Amazon Q Developer to overhaul core internal functions, including human resources, recruitment, sales, and vendor management.

The most immediate impact is expected within the Software Development Lifecycle (SDLC). For Infosys's more than 320,000 employees, particularly its massive developer workforce, the integration promises a significant boost in productivity and accuracy. The AI-powered tools will automate cumbersome tasks like generating technical documentation, accelerate code generation in multiple languages, and provide intelligent support for debugging, testing, and modernizing legacy codebases. This allows developers to focus on higher-value creative and problem-solving tasks, ultimately shortening project timelines and improving software quality.

Balakrishna D. R. (Bali), Executive Vice President at Infosys, highlighted this dual benefit. "By integrating Amazon Q Developer with Infosys Topaz, we are not just transforming our internal functions, such as development cycles, but also enabling our clients to reimagine critical functions like HR, recruitment, and vendor management," he said. This approach of proving the technology's value internally before rolling it out to clients is a powerful demonstration of confidence in its practical benefits.

Delivering Differentiated Value to Global Clients

Beyond internal efficiencies, the collaboration is sharply focused on delivering innovative, AI-driven solutions to Infosys's global client base. By leveraging the full suite of AWS generative AI services, including Amazon Bedrock, Infosys aims to create cutting-edge applications that drive tangible business outcomes.

One of the first concrete examples is in the sports and entertainment industry, where the partnership is enabling the creation of advanced, personalized fan engagement experiences. Using Infosys Topaz and Amazon Bedrock, the solution can deliver dynamic, real-time content and interactions to millions of fans simultaneously, moving beyond back-office optimization to create differentiated, revenue-generating customer experiences. This showcases the potential of generative AI to not only improve efficiency but also to invent entirely new ways of engaging with end-users.

The partnership is designed to be a foundational layer for an 'AI-first ecosystem,' empowering enterprises to navigate their digital transformations with greater agility and precision. As Bali noted, "This is about amplifying human potential to drive innovation and deliver impact at an unprecedented scale."

Building on a Foundation of Trust and Security

Recognizing that concerns around data privacy, intellectual property, and security are major barriers to enterprise AI adoption, both Infosys and AWS have built their offerings on a strong foundation of responsible AI principles. Infosys has implemented a comprehensive "Responsible AI Framework" and holds an ISO 42001:2023 certification for AI management systems, ensuring its solutions are designed with fairness, transparency, and accountability at their core.

Crucially for enterprise clients, AWS guarantees that customer content, such as prompts and outputs processed through services like Amazon Q Developer Pro and Amazon Bedrock, is not used to train the underlying models. All customer data remains secure and private within their own AWS environment. This addresses a primary concern for businesses handling sensitive or proprietary information, ensuring that their data is not exposed or used to benefit competitors.

This commitment to security and ethics is vital for navigating complex regulatory landscapes, including GDPR in Europe. By providing enterprise-grade controls, encryption, and clear data governance policies, the collaboration aims to give organizations the confidence to deploy generative AI solutions securely and in full compliance with global privacy standards.