Coforge Ltd, a global AI-native engineering services company, has introduced the Value Gates Framework, a methodology aimed at helping enterprises assess whether their artificial intelligence investments are translating into measurable business outcomes.
The framework comes as organisations step up spending on generative AI and agentic AI, while continuing to grapple with the challenge of moving projects beyond pilots and proof-of-concept stages into scaled deployments that deliver tangible business value.
Measuring value across the AI lifecycle
The Value Gates Framework provides a structured approach for evaluating AI initiatives at different stages of their development. Instead of treating deployment as the primary indicator of success, the framework uses evidence-based checkpoints linked to business impact, user adoption, governance, data readiness, operational feasibility and return on investment.
Coforge said the approach is based on lessons from executing large-scale AI programmes and is intended to help enterprises determine whether an AI initiative is creating demonstrable value as it progresses.
The framework also reflects a shift from effort-based AI projects towards outcome-led initiatives. By establishing clear value checkpoints, enterprises can assess whether projects justify further investment and identify initiatives where scaling could generate stronger business returns.
Reducing risks from low-impact AI projects
Coforge said the methodology can help organisations reduce the risk of committing additional resources to AI initiatives that may be technically successful but have limited business impact.
The framework encourages enterprises to continuously validate the business case, potentially enabling decision-makers to redirect resources, strengthen governance and improve adoption before projects reach large-scale deployment.
“Too many organisations confuse AI delivery with value delivery. In many cases, an AI solution can be technically successful but still fall short of delivering meaningful business impact. The Value Gates Framework helps leaders evaluate AI initiatives through the lens that matters most: outcomes. By continuously validating value, enterprises can improve adoption, strengthen governance, and concentrate investment on initiatives that create lasting business results,” said Coforge, Chief AI Commercial Officer, Anup Nair.
Thought leadership paper
To support adoption of the methodology, Coforge has published a thought leadership paper titled “Value-First AI Project Management: A Value Gates Framework.”
The paper outlines the principles underpinning the framework and provides guidance to organisations seeking to strengthen AI governance, improve investment discipline and increase value realisation from AI programmes.
The framework comes at a time when enterprises are increasingly moving from experimentation with generative AI towards more complex agentic AI deployments, making the ability to demonstrate business value an important consideration in deciding which initiatives should be scaled.