Coforge Limited announced a new adoption fabric designed to help enterprises overcome governance, change management, and operating model barriers to AI agentic development. It enables Coforge clients to assess workforce readiness, redesign development operating models, and rapidly scale agentic software development initiatives across the enterprise.
As organizations increase their investments in AI-powered coding assistants and autonomous development tools, many are discovering that early productivity gains do not translate into sustainable transformation.
Coforge's methodology combines three distinct change management disciplines to address these challenges: Kotter's Change Model, Prosci's ADKAR framework, and Operational Change Management (OpCM). Kotter provides executive alignment and organizational momentum, ADKAR drives adoption at the individual level, and OpCM reshapes the software development lifecycle itself to support agentic development at scale.
Based on real-world experience with clients, Coforgeโs adoption fabric is built to address the most common failure patterns that arise when attempting to scale agentic development pilots: developers reverting to outmoded workflows, ineffective governance policies, and adoption metrics that do not capture the true health of day-to-day development processes. It provides a workforce readiness roadmap and practical guidance for redefining code review, testing, requirements management, quality controls, and team responsibilities in an agentic SDLC environment.
"The most successful organizations treat agentic development as an enterprise transformation initiative rather than a technology project. That requires new ways to manage, measure, and scale AI-driven development," said Anup Nair, Chief AI Commercial Officer, Coforge. "Our adoption fabric provides a structured approach to transforming delivery models, governance, and workforce behaviors, helping organizations translate AI investments into measurable, sustainable business outcomes at speed."
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