Infosys collaborated with the CMMI Institute and KPMG to advance the CMMI AI Maturity (AIM) framework, completing a pilot assessment across its global delivery hubs to validate how AI maturity is assessed in large-scale enterprise environments. This engagement positions Infosys among the first select group of organizations globally to complete the pilot, demonstrating a structured approach to scaling artificial intelligence across enterprise-grade software engineering and service delivery.

Collaboration With CMMI Institute

The CMMI Institute is a globally recognised body known for establishing capability maturity frameworks. Through this collaboration, Infosys contributed deep enterprise-scale perspectives on AI governance, responsible deployment, and outcome-driven practices that helped define how AI maturity is assessed and operationalized. The CMMI AIM framework enables organizations to assess, benchmark, and improve how AI is implemented across real-world enterprise and regulatory environments, linking AI practices and governance to measurable, scalable outcomes.

As an early pilot participant, Infosys validated and identified key elements of the framework for further refinement by applying it across large-scale delivery environments. Infosys' participation builds on its broader investments in AI-first software engineering, leveraging its Infosys Topaz Fabric suite to operationalize AI across internal processes and client engagements.

Key Highlights of the Partnership

Pilot Assessment and Validation

As part of the pilot, Infosys worked closely with the CMMI Institute and KPMG to validate how AI maturity can be assessed consistently across large, complex organizations. The evaluation assessed how AI is embedded across the software engineering lifecycle, focusing on productivity, quality, governance, and responsible AI practices. Infosys provided practical implementation insights as part of the CMMI AIM pilot, strengthening an actionable, enterprise-ready approach to AI maturity that organizations can apply globally.

This engagement helped shape key dimensions of the emerging CMMI AIM Model, including performance alignment to business outcomes, consistency of AI practices, risk and compliance management, and accountability in AI-driven decision-making. The recognition by the CMMI Institute is a testament to Infosys' sustained multi-year focus on building a mature, scalable, and enterprise-grade AI proposition through disciplined execution, governance, and continuous improvement.

Infosys has announced a strategic collaboration with IHH Healthcare to drive a multi-year, enterprise-wide ERP transformation program. The initiative aims to standardize and harmonize business processes across IHH Healthcare's global network, starting with Hong Kong, Malaysia, and Singapore. This partnership is designed to streamline operations, enhance agility, optimize costs, and strengthen regulatory compliance for the healthcare provider.

Partnership Overview

The collaboration leverages Infosys Topaz, an AI-first offering powered by generative and agentic AI technologies, to embed intelligence into IHH Healthcare's core business workflows. Infosys will consolidate the legacy, siloed ERP landscape by integrating critical functions such as finance, procurement, supply chain, human capital management, and enterprise performance management. This approach will help IHH Healthcare unlock AI-powered business value at scale and establish a centralized, digital enterprise foundation.

Strategic Focus

The AI-driven transformation is intended to address the operational complexities of managing a multi-country healthcare ecosystem. By integrating artificial intelligence into core enterprise systems, the partnership aims to deliver improved process efficiency and real-time data visibility. This will support IHH Healthcare's journey toward a more connected, data-driven, and future-ready healthcare ecosystem.

Dilip Kadambi, Group Chief Financial Officer, IHH Healthcare, stated that the collaboration will drive greater cost efficiency while empowering teams to focus on patient care. Venky Ananth, EVP and Global Head – Healthcare, Infosys, highlighted the ability to operationalize AI-led transformation at scale by consolidating fragmented systems into a unified, cloud-based platform.