The framework focuses on a key challenge for enterprises: turning AI pilot projects into solutions that deliver measurable business value.
Measuring AI Business Value
Coforge said its framework evaluates AI projects at different stages of development. It considers factors such as business impact, user adoption, data readiness, governance, operational feasibility and return on investment (ROI).
The approach allows businesses to assess whether an AI project is delivering the expected results before investing further in its development or expansion.
Unlike traditional project reviews that focus mainly on completing a deployment, the Value Gates Framework places greater emphasis on measurable outcomes and the practical use of AI solutions.
AI Governance And Investment Decisions
The framework is intended to help enterprises identify projects with clear business benefits, improve AI governance and reduce spending on initiatives that fail to deliver value.
Anup Nair, Chief AI Commercial Officer at Coforge, said businesses must distinguish between successfully delivering an AI system and achieving meaningful business results.
Coforge has also published a thought leadership paper titled Value-First AI Project Management: A Value Gates Framework. The paper explains the methodology and its role in helping organisations manage AI projects, assess investments and track business outcomes.
The launch comes as companies continue to explore generative AI and agentic AI for business operations, increasing the focus on measurable returns from these technologies.
