Coforge Limited has submitted its sustainability report for the financial year 2025-26 to the Bombay Stock Exchange and the National Stock Exchange of India. The filing marks the completion of the company's annual environmental, social, and governance disclosure cycle for the period.

Filing Details

The document was filed on September 3, 2026. Barkha Sharma, Company Secretary and Compliance Officer of Coforge , digitally signed the submission. The report covers the company's performance against sustainability metrics for FY26.

The filing includes standard regulatory correspondence addressed to the Department of Corporate Services at both BSE and NSE. It confirms the enclosure of the detailed sustainability report as required by listing regulations.

Report Scope

The sustainability report is titled "Accelerating Growth Scaling Purpose." It outlines the company's approach to integrating purpose with business growth during the fiscal year. The document serves as the primary reference for stakeholders assessing Coforge's non-financial performance indicators for FY26.

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

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.