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CyberAgent moves faster with ChatGPT Enterprise and Codex

For developers building AI workflows, CyberAgent's case shows how enterprise-grade AI tools can be integrated securely across multiple business lines, offering a template for scalable and responsible AI adoption.

OpenAI Blog··1 min readrelease
releaseCyberAgent moves faster with ChatGPT Enterprise and Codex
openai.com

What happened

Japanese digital advertising and media conglomerate CyberAgent has adopted ChatGPT Enterprise and Codex, according to an OpenAI Blog post. The company is using these AI tools to securely scale adoption across its advertising, media, and gaming divisions, with the goal of improving quality and accelerating decision-making. By integrating ChatGPT Enterprise, CyberAgent enables employees to leverage AI for tasks like content generation and data analysis while maintaining enterprise-grade security and governance. Codex, OpenAI's code-generation model, is being used to streamline software development workflows, reducing coding time and enabling team members with less programming experience to contribute. This adoption reflects a broader trend where large enterprises seek to embed AI directly into their core operations, moving beyond experimental use. For builders and developers designing AI workflows, CyberAgent's approach offers a blueprint for scaling AI responsibly across diverse business units, emphasizing the importance of security, customizability, and integration with existing tools.

Key takeaways

  • CyberAgent adopts ChatGPT Enterprise and Codex across advertising, media, and gaming divisions.
  • The tools aim to improve quality and accelerate decision-making at scale.
  • Codex is used to streamline coding and enable non-expert developers.
  • Deployment emphasizes enterprise security and governance.
  • This represents a shift from experimentation to production AI usage in large enterprises.

Why it matters

For developers building AI workflows, CyberAgent's case shows how enterprise-grade AI tools can be integrated securely across multiple business lines, offering a template for scalable and responsible AI adoption.

This is an original editorial digest by AI Workflow Pro. Full reporting at the source:

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