CyberAgent moves faster with ChatGPT Enterprise and Codex
Japanese ad giant uses OpenAI's enterprise tools to accelerate decisions across media and gaming.
Japanese digital advertising and media conglomerate CyberAgent has announced a strategic, company-wide adoption of OpenAI's enterprise-grade AI tools, specifically ChatGPT Enterprise and Codex. This move represents a significant shift from experimental AI use to a secure, scaled implementation aimed at accelerating core business operations. The company, which operates major media properties like AbemaTV and has a substantial gaming division, plans to leverage these models to enhance content creation, streamline development workflows, and improve decision-making speed across its diverse portfolio.
By deploying ChatGPT Enterprise, CyberAgent gains access to advanced features like higher usage limits, improved performance, and crucially, enterprise-grade security and data privacy assurances that standard API access lacks. This allows teams to work with sensitive business data and proprietary information securely. Concurrently, the integration of Codex, OpenAI's code-generation model, is targeted at accelerating software development within its gaming and tech divisions, potentially automating routine coding tasks and improving developer productivity.
The initiative is framed as a method to 'move faster' by embedding AI directly into the operational fabric of its advertising planning, media production, and game development processes. This case study is a clear signal to the industry of how large, complex organizations are transitioning AI from a siloed research project into a standardized, secure tool for driving efficiency and innovation at scale.
- CyberAgent adopted OpenAI's ChatGPT Enterprise for secure, scaled AI access across its business units.
- The integration includes Codex to accelerate software development in its gaming and tech divisions.
- The goal is to improve decision speed and content quality in advertising, media (AbemaTV), and gaming.
Why It Matters
Shows how enterprises are moving AI from pilot projects to secure, core operational tools for acceleration.