Coforge and Pega partnership targets AI scaling barriers

The Coforge and Pega partnership is taking aim at a challenge that sits beyond AI development tools themselves: helping enterprises turn early productivity gains from AI-powered coding assistants and autonomous development tools into sustainable transformation. Coforge’s new adoption fabric focuses on workforce readiness, governance and operating model changes needed to scale agentic software development.

As enterprises increase their investment in AI-assisted development, the initial gains can be easier to achieve than long-term adoption. Developers may return to familiar workflows, governance policies may fail to fit new development methods, and traditional metrics may not show whether day-to-day processes are actually improving.

Enterprise AI alliance moves beyond early adoption

Coforge’s methodology brings together three change management disciplines: Kotter’s Change Model, Prosci’s ADKAR framework and Operational Change Management. The three approaches address different parts of the transformation, from executive alignment and individual adoption to reshaping the software development lifecycle.

The Coforge and Pegasystems enterprise AI alliance therefore focuses on the organisational layer surrounding agentic development. Its adoption fabric is designed to help enterprises assess workforce readiness, redesign development operating models and create a path for scaling AI-driven development initiatives.

Agentic development puts governance under pressure

The shift towards agentic software development also changes how teams approach everyday engineering work. Coforge’s experience with clients points to recurring challenges around code review, testing, requirements management, quality controls and team responsibilities.

These areas become particularly important when AI takes on a greater role in development. Enterprises need operating models that define how AI-generated work is reviewed, governed and integrated into existing processes rather than simply measuring how frequently employees use AI tools.

AI adoption now depends on workforce readiness

The adoption fabric includes a workforce readiness roadmap aimed at addressing the human side of the transition. The focus is not simply on introducing AI tools, but on helping development teams adjust their behaviours and workflows around them.

For enterprises exploring low-code AI partnerships, this distinction matters. The technology can accelerate development, but the organisation still needs people, processes and governance structures capable of supporting those new ways of working.

Coforge and Pega partnership focuses on sustainable transformation

The Coforge and Pega partnership ultimately points to a broader change in enterprise AI adoption. Moving from successful pilots to scaled agentic development requires more than technical capability. It requires changes to delivery models, governance frameworks and workforce behaviour.

Coforge’s adoption fabric is positioned around that transition, giving enterprises a structured approach to redesigning how AI-driven software development is managed, measured and scaled across the organisation.

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