OpenAI expands Codex push with consulting firms to win enterprise customers

OpenAI moved Codex deeper into corporate IT by enlisting a broad group of consulting and systems-integration firms to help large companies find real uses for the coding tool inside messy, legacy software environments. The partners include Accenture, Capgemini, CGI, Cognizant, Infosys, PricewaterhouseCoopers and Tata Consultancy Services, and OpenAI said they will help customers identify and deploy Codex across the software development lifecycle.

The company also launched Codex Labs, a program that places OpenAI specialists inside customer organizations through workshops and working sessions. That adds a hands-on implementation layer to a product that has been moving quickly inside engineering teams. OpenAI said Codex weekly usage rose from more than 3 million developers in early April to more than 4 million two weeks later, a sign that the company sees the tool as ready for broader business rollout.

OpenAI pointed to early enterprise examples to show how it wants Codex used. Virgin Atlantic, Ramp, Notion, Cisco and Rakuten are already using it for tasks including test coverage, code review, large repository analysis and incident response. The pitch is less about showing off model capability and more about embedding AI into daily engineering work, where software teams need tools that fit security rules, approval processes and existing development pipelines.

That enterprise strategy has been building for months. In February, OpenAI announced multi-year Frontier Alliances with Accenture, Boston Consulting Group, Capgemini and McKinsey & Company to help move customers from AI pilots to production, with the consultancies working alongside OpenAI Forward Deployed Engineering. OpenAI said its partners are also using Codex internally to build repeatable ways to bring it to customers, a sign that distribution and implementation have become part of the product itself.

The push comes as competition in enterprise AI coding intensifies. Anthropic’s Claude models have gained traction with corporate customers for coding and other enterprise use cases, and OpenAI recently added background desktop execution and an in-app browser to Codex to make it more useful across workplace workflows. TechCrunch has said enterprise AI adoption has been relatively slow because many companies struggle to find meaningful return on investment, which helps explain why OpenAI is leaning so heavily on consultants rather than selling Codex as a standalone developer add-on.

OpenAI has also named Barret Zoph to lead enterprise sales, underscoring how much of its 2026 playbook now depends on consulting-led distribution, implementation support and customer-specific integration. For OpenAI, the test is no longer whether Codex can write code, but whether it can become a standard corporate IT purchase.