Coforge unveils AI Adoption Fabric to accelerate agentic development outcomes
- Coforge launched the AI Adoption Fabric on August 31, 2026, to help enterprises scale agentic software development
- The framework integrates Kotter's Change Model, Prosci's ADKAR, and Operational Change Management methodologies
- It addresses governance gaps, workforce readiness, and workflow reversion in AI-driven development environments
- The initiative aims to transform delivery models and governance to ensure sustainable business outcomes from AI investments

*this image is generated using AI for illustrative purposes only.
Coforge has launched an AI Adoption Fabric designed to accelerate results and address governance and change management challenges in scaling agentic software development.
Framework overview
The initiative targets key barriers organisations face when scaling AI, with a focus on governance structures, operating model redesigns, and the human side of change management. Announced on August 31, 2026, the framework draws on established methodologies to guide organisations through AI adoption in a structured and measurable way.
Methodologies underpinning the framework
The framework integrates three recognised change management approaches:
- Kotter's Change Model: A structured, step-by-step approach to driving organisational transformation and executive alignment
- Prosci's ADKAR Framework: A goal-oriented model focused on individual transitions through change, covering Awareness, Desire, Knowledge, Ability, and Reinforcement
- Operational Change Management: Practical, process-level management of change within day-to-day operations, specifically reshaping the software development lifecycle
| Framework component | Purpose |
|---|---|
| Kotter's Change Model | Organisational transformation guidance and executive alignment |
| Prosci's ADKAR Framework | Individual-level change enablement |
| Operational Change Management | Process-level change execution and SDLC reshaping |
By combining these methodologies, the framework addresses both the strategic and operational dimensions of AI adoption. It targets governance gaps, change resistance, and workflow reversion that commonly impede AI scaling efforts, providing a workforce readiness roadmap for redefining code review, testing, and quality controls.
Strategic context
As organizations increase investments in AI-powered coding assistants and autonomous development tools, early productivity gains often fail to translate into sustainable transformation. The adoption fabric is built to address common failure patterns, such as developers reverting to outmoded workflows and ineffective governance policies.
Anup Nair, Chief AI Commercial Officer at Coforge, stated that successful organizations treat agentic development as an enterprise transformation initiative rather than a technology project. The fabric provides a structured approach to transforming delivery models, governance, and workforce behaviors to translate AI investments into measurable business outcomes.
Historical Stock Returns for Coforge
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -1.52% | +4.87% | +17.67% | +67.30% | +14.20% | 0.0% |
How might Coforge's AI Adoption Fabric influence the competitive landscape for other IT services firms offering AI transformation consulting?
What specific metrics will organizations likely use to measure the ROI of implementing this governance-focused framework versus adopting standalone AI coding tools?
Could the integration of Kotter's and Prosci's models set a new industry standard for how enterprise change management is structured around agentic AI workflows?


































