Infosys has completed a pilot assessment for the CMMI Institute’s new AI Maturity (AIM) framework. The collaboration establishes global standards for responsible AI governance and scaling, helping enterprises transform isolated AI projects into measurable, reliable, and compliant business operations through structured engineering and performance benchmarking.
Infosys (NSE, BSE, NYSE: INFY), a global leader in AI-first business consulting and technology services, announced on Thursday that it has successfully completed and contributed to the new CMMI AI Maturity (AIM) framework. The milestone marks a significant step in establishing global industry standards for how organizations assess, benchmark, and scale artificial intelligence across complex enterprise environments.
As an early pilot participant, Infosys worked alongside the CMMI Institute—a global leader in performance and capability improvement—and other industry leaders to validate the framework. By applying the CMMI AIM model across its large-scale delivery hubs and software engineering lifecycles, the company helped refine how AI governance, risk management, and outcome-driven practices are operationalized in real-world settings.
Defining Benchmarks for Enterprise AI Adoption
The CMMI AI Maturity framework is designed to bridge the gap between experimental AI projects and repeatable, measurable enterprise performance. As organizations increasingly look to integrate AI into their core operations, the need for a structured maturity model has become critical to ensure safety, regulatory compliance, and consistent quality.
Infosys leveraged its Topaz AI offerings to provide deep implementation insights during the pilot program. The evaluation focused on several key dimensions of enterprise AI:
Governance and Accountability: Ensuring AI-driven decisions are traceable, transparent, and aligned with ethical standards.
Performance Alignment: Linking AI adoption to tangible business outcomes and productivity metrics.
Operational Rigor: Integrating AI into software development, maintenance, and testing lifecycles to reduce defects and ensure quality at scale.
Collaborative Effort for Industry Standards
According to official announcements, the pilot program included a select group of organizations, including IBM Consulting and Government Technical Services Corporation (GTSC), aimed at ensuring the AIM framework is robust enough to handle diverse industry requirements.
Ron Lear, Vice President of CMMI Global Strategies at the CMMI Institute, noted that Infosys brought essential, practical perspectives to the pilot. These insights confirmed the effectiveness of the CMMI AIM practices in transforming isolated AI successes into predictable, enterprise-wide capabilities.
Why It Matters
For global enterprises, the introduction of a standardized maturity framework represents a shift toward more responsible and professionalized AI adoption. Practical implications include:
Risk Mitigation: Companies can now assess their AI readiness against a globally recognized benchmark, reducing the risk of security vulnerabilities and compliance breaches.
Increased ROI: By following a structured model, businesses can convert ad-hoc AI experiments into repeatable, scalable, and value-driven operations.
Regulatory Readiness: The framework aligns closely with evolving global regulations, such as the EU AI Act and ISO/IEC 42001, providing a roadmap for organizations to remain audit-ready.
Key Facts at a Glance
Collaboration: Infosys partnered with CMMI Institute to pilot the new AI Maturity (AIM) framework.
Goal: To establish global standards for AI governance, performance, and responsible deployment.
Scope: The pilot spanned large-scale software engineering, maintenance, and service delivery hubs.
Industry Leadership: Infosys is among the first organizations globally to complete the pilot assessment.
Launch: The full CMMI AIM framework is scheduled to be officially unveiled at the Capability Creates Conference in June 2026.
FAQ
What is the CMMI AI Maturity (AIM) framework?
The AIM framework is a structured methodology developed by the CMMI Institute to help organizations assess, benchmark, and improve their artificial intelligence capabilities, moving from experimental AI to scalable, reliable enterprise performance.
Why is this maturity model important for businesses?
It provides the governance and operational guardrails necessary to treat AI as a dependable business tool rather than an isolated "black box" experiment, ensuring ROI and regulatory compliance.
How did Infosys contribute to the model?
As a pilot participant, Infosys applied the framework across its global delivery environments and service lines, providing real-world data and implementation insights that helped refine the framework's assessment methods and performance dimensions.
Source: Infosys Newsroom, CMMI Institute, ISACA