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AI Engineering
OpenAI Blog·Apr 9·5 min read
CyberAgent moves faster with ChatGPT Enterprise and Codex
TL;DR
CyberAgent, a Japanese advertising and gaming company, faced challenges scaling AI safely across teams while maintaining code quality and decision speed. The company deployed ChatGPT Enterprise (a secure, business-grade version of OpenAI's conversational AI) and Codex (OpenAI's code-generation model) to automate workflows.
✦ Why It Matters
Engineers can adopt enterprise AI tools to accelerate development velocity and code quality without sacrificing security or compliance requirements.
Key Takeaways
- Deploy ChatGPT Enterprise for secure, governed AI access across distributed teams.
- Use Codex to automate code generation and reduce manual development time.
- Implement centralized audit trails and access controls for enterprise AI compliance.
- Measure productivity gains in decision speed and code review cycles post-deployment.
Full Summary
CyberAgent, a major player in digital advertising, media, and gaming, needed to adopt AI tools at scale without compromising security or code quality. The company implemented ChatGPT Enterprise—a version of OpenAI's large language model designed for enterprise use with enhanced security, data isolation, and compliance features—alongside Codex, a specialized model trained to generate and understand code.
This approach allowed teams across multiple business units to leverage AI for tasks ranging from copywriting to software development while maintaining centralized governance and audit trails. By using these tools, CyberAgent reduced time-to-decision in advertising campaigns, improved code review cycles, and lowered the barrier for non-technical staff to interact with AI.
The deployment demonstrated measurable gains in team productivity and decision velocity, with security maintained through enterprise-grade access controls and data handling.