Infosys announced the launch of its AI First Value Framework, designed to help global enterprises scale AI value using its Infosys Topaz™™ suite. This strategic move positions the company to capture a potential incremental USD 300-400 billion AI services opportunity by 2030, citing a recent Nasscom-McKinsey Report. The framework focuses on six core value pools, combining generative and agentic AI to transform business processes and unlock significant scale.
Infosys Launches AI First Value Framework
On February 17, 2026, Infosys, a global leader in digital services, unveiled its proprietary AI First Value Framework. This framework is specifically engineered to enable enterprises worldwide to unlock the value of Artificial Intelligence at scale, leveraging the power of the company’s generative and agentic AI suite, Infosys Topaz™™.
This initiative directly addresses the projected growth in the sector, aiming to tap into an incremental USD 300-400 billion AI first services opportunity by 2030, as estimated by a recent Nasscom-McKinsey Report. Infosys detailed a two-pronged strategy: capturing new demand across six distinct value pools and augmenting existing services to grow wallet share.
The Six Value Pools for Unlocking AI Value
The framework visualizes the approach to unlocking AI value across six key operational areas:
- AI Strategy & Engineering: Designing and implementing tailored AI strategies, platforms, and architectures to establish a unified, enterprise-wide AI operating model.
- Data for AI: Preparing structured and unstructured enterprise data for AI model readiness through building AI-ready platforms and applying AI-grade data engineering.
- Process AI: Transforming core business workflows by integrating AI agents and human expertise to drive step-change improvements in efficiency and experience.
- Agentic Legacy Modernization: Utilizing AI agents to reverse-engineer existing estates, understand intent, and progressively modernize systems without disruption, reducing technical debt.
- Physical AI: Designing intelligent products and embedding AI into physical devices (like digital twins and robotics) to capture data and take real-time action where digital and physical converge.
- AI Trust: Ensuring all AI systems and agents embrace responsible, secure, and ethical practices across the entire lifecycle, focusing on governance, risk assessment, and compliance.
Client Traction and Leadership Commentary
Infosys is currently leveraging its purpose-built, composable suite, Infosys Topaz Fabric™™, in its service delivery. The company noted that it is collaborating with 90 percent of its top 200 clients on their AI journeys, with more than 4,600 AI projects underway. It has already developed over 30 new service offerings aligned with these six value pools.
Nandan Nilekani, Co-founder and Chairman, stated that Infosys is uniquely positioned to orchestrate AI across complex ecosystems, given its four decades of experience in guiding large-scale transformations.
Salil Parekh, CEO and MD, emphasized that the framework positions Infosys to capture market share across these pools, noting strong client trust for AI transformation, spanning from strategy through execution to unlock value at scale.
Source: BSE
