Cognizant has said that it has been selected by OpenAI as one of its global partners to expand the use of Codex across enterprise clients. The company said it has started integrating Codex into its engineering workflows, aiming to make it a standard part of how it builds and delivers software.
The move is part of OpenAI’s plan to work with select global systems integrators that can deploy Codex in large and complex enterprise environments and offer related services to clients.
Codex to be embedded in engineering workflows
Cognizant said it is embedding Codex within its Software Engineering Group. The goal is to use the platform across software development processes such as code generation, testing, refactoring and documentation.
The company added that its engineers are already using Codex in client projects. These include artificial intelligence and machine learning development, legacy system upgrades and building agent-based solutions.
“The best engineering organizations of the next decade will not be defined by how many engineers they have, but by how effectively human judgment and AI capability work as one,” said Rajesh Varrier, President, Global Operations and Chairman & Managing Director, Cognizant India. “We are embedding Codex as a partner in how our engineers work – handling code generation, refactoring, testing and documentation – so our teams can apply human judgment where it is needed most. OpenAI brings frontier intelligence. Cognizant brings enterprise scale, deep industry expertise and the governance rigor that industry requires.”
Cognizant said the use of Codex is helping speed up software delivery cycles and improve code quality. It also said the technology can help reduce costs and risks in large-scale modernisation projects, especially those involving legacy systems. The company noted that such projects have often faced delays due to complexity, regulatory challenges and dependence on internal knowledge.
Cognizant said the partnership adds Codex to its broader AI builder stack, which includes multiple AI platforms and cloud providers. The company said its strategy focuses on linking AI investments with business outcomes through workflow integration and operational deployment.
The move is part of OpenAI’s plan to work with select global systems integrators that can deploy Codex in large and complex enterprise environments and offer related services to clients.
Codex to be embedded in engineering workflows
Cognizant said it is embedding Codex within its Software Engineering Group. The goal is to use the platform across software development processes such as code generation, testing, refactoring and documentation.
The company added that its engineers are already using Codex in client projects. These include artificial intelligence and machine learning development, legacy system upgrades and building agent-based solutions.
“The best engineering organizations of the next decade will not be defined by how many engineers they have, but by how effectively human judgment and AI capability work as one,” said Rajesh Varrier, President, Global Operations and Chairman & Managing Director, Cognizant India. “We are embedding Codex as a partner in how our engineers work – handling code generation, refactoring, testing and documentation – so our teams can apply human judgment where it is needed most. OpenAI brings frontier intelligence. Cognizant brings enterprise scale, deep industry expertise and the governance rigor that industry requires.”
Cognizant said the use of Codex is helping speed up software delivery cycles and improve code quality. It also said the technology can help reduce costs and risks in large-scale modernisation projects, especially those involving legacy systems. The company noted that such projects have often faced delays due to complexity, regulatory challenges and dependence on internal knowledge.
Cognizant said the partnership adds Codex to its broader AI builder stack, which includes multiple AI platforms and cloud providers. The company said its strategy focuses on linking AI investments with business outcomes through workflow integration and operational deployment.
