Product Description
The AI Adoption Fabric is a methodology that combines three distinct change management disciplines:
- Kotter's Change Model for executive alignment and organizational momentum
- Prosci's ADKAR framework for driving adoption at the individual level
- Operational Change Management (OpCM) for reshaping the software development lifecycle
The fabric addresses common failure patterns in scaling agentic development pilots, including:
- Developers reverting to outmoded workflows
- Ineffective governance policies
- Adoption metrics that fail to capture true development process health
Strategic Impact and Target Market
The solution provides:
- A workforce readiness roadmap
- Practical guidance for redefining code review, testing, requirements management, quality controls, and team responsibilities in an agentic SDLC environment
- Designed to help organizations translate AI investments into measurable, sustainable business outcomes
According to Anup Nair, Chief AI Commercial Officer at Coforge: "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. 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."
Expected Business Outcomes
The company states that its AI-native approach is "outcome-led by design" and aims to deliver measurable business outcomes including:
- Lower operating costs
- Faster cycle times
- Higher conversion rates
- Sustained margin growth
Additional Information
The company has published a white paper titled "Enabling the Transformation to an Agentic Software Development Lifecycle" available at: https://blog.coforge.com/white-papers/enabling-thetransformation-to-an-agentic-software-development-lifecycle