CyberAgent moves faster with ChatGPT Enterprise and Codex

· Source: OpenAI News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Operations & Process Management · Depth: Intermediate, medium

Summary

CyberAgent, a Japanese internet company specializing in advertising, media, and gaming, has significantly accelerated its operations and improved decision-making by adopting ChatGPT Enterprise and Codex. The company achieved a 93% monthly active usage rate for ChatGPT Enterprise, integrating it into daily tasks like research and drafting, while maintaining human oversight for final decisions. This widespread adoption was driven by robust security and management features of ChatGPT Enterprise, which addressed initial concerns about data privacy and governance. Additionally, CyberAgent fostered a culture of proactive AI use through knowledge sharing, internal rankings, and targeted follow-ups for non-users. Codex is being utilized beyond code generation, enhancing upstream work such as design reviews, code improvement suggestions, and knowledge document creation, leading to better design quality and faster alignment before implementation.

Key takeaway

For CTOs and VPs of Engineering aiming to scale AI adoption securely, prioritize enterprise-grade AI platforms like ChatGPT Enterprise to manage data and access. Your teams should establish clear internal guidelines for confidential information and cultivate a culture of proactive AI use through training, knowledge sharing, and non-punitive usage tracking. This approach will embed AI into daily workflows, improving both productivity and decision quality across development and non-developer roles.

Key insights

Secure enterprise AI adoption thrives on strong governance, cultural encouragement, and practical application.

Principles

Method

CyberAgent implemented ChatGPT Enterprise for secure AI use, established internal guidelines, and fostered adoption through knowledge sharing, internal rankings, and proactive user engagement via Slack.

In practice

Topics

Best for: Executive, CTO, VP of Engineering/Data, AI Engineer, Director of AI/ML, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by OpenAI News.