CyberAgent moves faster with ChatGPT Enterprise and Codex

CyberAgent 是一家日本互联网公司，业务涵盖互联网广告、媒体与 IP、以及游戏。公司以“打造代表 21 世纪的企业”为愿景，依托技术与创意，在国内外创造新的价值。

在 CyberAgent 内部，AI 并非少数先进项目的代名词，而被定位为支撑业务增长与流程设计的基础性技术，公司在该领域持续投入。2016 年成立了 “ AI Lab ”，开展与数字营销相关的各类 AI 技术研发；2023 年又设立了 “ AI Operations Office ”，构建利用 AI 改造业务运营的组织框架。

这些举措以采纳 ChatGPT Enterprise 和 Codex 为核心。鉴于广告、媒体与游戏业务的属性，CyberAgent 的竞争优势在于同步提升质量与生产力，并通过快速假设验证迭代产品。将 ChatGPT Enterprise 作为 AI 环境的基础，使员工在强有力的安全与管理保障下，能在日常工作中放心使用 AI。如今，利用 ChatGPT 做调研、起草和要点整理已成为常态，而最终决策权仍由人把持；同时， Codex 也在设计讨论、代码审查和文档编写中加速推进。

ChatGPT Enterprise 如何促成安全采用

早在生成式 AI 兴起之前，CyberAgent 就在广告领域推进 AI 的研发与应用。2020 年推出了 “ Kiwami Prediction AI ”，推动将 AI 融入广告创意制作流程。

自 2022 年 ChatGPT 推出后，员工在日常工作中使用 AI 的场景迅速扩展。随着业务化使用增加，对更强的安全性、治理与规则的需求也随之上升。一个主要难题是无法确定哪些信息可以安全输入 AI 工具，导致员工顾虑重重、采纳速度受限；此外，各部门和个人使用情况差异较大，也不利于知识共享与统一管理。

为应对这些挑战，CyberAgent 采用了 ChatGPT Enterprise ，该产品提供面向企业使用的管理功能，能够根据公司需求在合约、配置与运营策略上管理输入数据的处理方式，并具备企业级的安全与访问控制，帮助员工在日常工作中自信地应用 AI。公司同时制定了内部保密信息处理指引，确保使用安全合规。

来自企业 IT 推进部数据技术课的负责人 Ken Takao 表示， ChatGPT Enterprise 帮助营造了让员工无忧使用 AI 的环境。

“借助账户管理与使用可视化等企业功能， ChatGPT Enterprise 使我们能支持更广泛的信息业务使用，排除机密数据后即可放心应用。结果是公司范围内的 AI 使用大幅扩展，许多员工已将其作为日常工作工具。”—— Ken Takao， CyberAgent

为何不用强制也能普及

CyberAgent 通常不在组织内强制推行特定工具， ChatGPT Enterprise 亦如此：各团队、各部门与各子公司会根据自身目标，在多种工具间评估并自主采纳。即便如此，该工具现已在几乎所有部门得到使用，月活跃用户率达到 93%。

推动这一增长的，是公司刻意营造的文化与来自 OpenAI 的持续培训支持。

在文化层面，CyberAgent 建立了鼓励主动使用的机制，如共享 prompts 与成功案例，以及内部使用排行，帮助员工了解自己的 AI 使用情况（排行仅允许个人查看自身数据，且不作为绩效评估依据）。

在运营层面，公司还设置了跟进机制：当某位员工长时间未使用该工具时，内部机器人会在 Slack 上主动询问原因。如果员工在使用其他 AI 工具，沟通有助于厘清各工具的用途；若尚未使用任何 AI 工具，公司会提供针对其工作场景的应用建议与实用技巧。

此外， OpenAI 主办的培训与工作坊也发挥了重要作用。尽管许多活动只是短时间内宣布并组织，仍有超过十场、每场都吸引 100 多名员工参与，内容从面向初学者的 “ ChatGPT Enterprise 101 ” 到定制 GPT、实操 Codex 的课程与内部黑客松不等。CyberAgent 与 OpenAI 针对不同角色与成熟度设计学习机会，帮助员工在实践中获得首批成功体验。

Codex 在落地前如何改善决策

在 CyberAgent 内部， Codex 的采用也在快速扩展，团队对它的使用远超代码生成，更多地应用在上游的设计、对齐与评估环节——早期做出更好的决策可以显著减少后期返工。

Takao 指出三类典型用例：

• 从多角度审视、评估并检验设计方案；
• 在代码评审过程中生成改进建议并在多个选项中做出选择；
• 构建与维护知识文档（如 AGENTS.md ），为“代理”提供更丰富的上下文。

他同时总结了三大收益：

1. 提案能从更多视角被评估，从而提升设计质量；
2. 在实现前更快达成一致，降低后期返工；
3. 提案背后的理由更清晰，帮助更快做出决策。

Codex 的使用正在向工程以外扩散。非开发岗位开始用它来撰写规格、制作原型以及组织与产品开发相关的工作；在某些场景下，Codex 甚至被用来构建支撑 ChatGPT 内部采纳的系统，例如 CyberAgent 就用 Codex 开发了内部使用排行系统，使得采纳可见且更具吸引力。

Codex 如何让团队更自信且更快推进

在 CyberAgent 的开发团队中， Codex 越来越被视为不仅能提速的工具，更能提升判断质量。

AI 事业部的高频用户 Sou Yoshihara 在 Cursor 的 MCP 中使用 Codex ，并把它应用于 Kiwami Prediction AI 的设计与落地规划。Yoshihara 表示：“与其他代码模型相比， Codex 给人的印象是能产出更高质量的提案。”他将其看作优化整个开发流程的手段，而非单纯的编码工具。

在游戏开发中也能看到相同的趋势。GOODROID 的开发者 Hidekazu Hora 强调，使用 Codex 后，从设计到实现再到验证的流程更容易把控。Hora 在开发游戏 WormEscape 时使用了 Codex，项目在约一个月开发后完成了软启动。

“它像一位可靠的伙伴，从讨论实现到执行都给予支持，提高了开发速度。即便是我没有经验的领域， Codex 也能更快地帮我解开因知识不足造成的瓶颈，我觉得它同时带来了质量与速度的提升。”—— Hidekazu Hora，GOODROID

整家公司对 Codex 的使用方式各异，但共同点是：可用性与产出质量是团队持续回归的原因。Codex 不仅让人更快完成工作，也让人更有信心前进。

下一步

CyberAgent 将 AI 视为一个不是昙花一现的热潮，而是会成为互联网行业下一个标准的转折点。以 AI Lab 作为长期的技术引擎与实践化应用平台，公司计划继续扩大 AI 在组织内创造价值的方式。

值得关注的不仅是采纳规模，更是采纳的形成方式：在没有一刀切的强制文化里，团队自主选择适合的工具、学会高效使用，并建立促进更广泛采纳的系统。 ChatGPT Enterprise 与 Codex 不再只是生产力工具：二者正帮助 CyberAgent 将 AI 从引入阶段推向日常化应用，并从“采纳”走向“重塑工作方式”。

CyberAgent is a Japanese internet company engaged in businesses such as internet advertising, media & IP, and gaming. Guided by its vision of “creating a company that represents the 21st century,” the company leverages its strengths in technology and creativity to generate new value both domestically and internationally.

At CyberAgent, AI is positioned not as a set of limited advanced initiatives, but as a foundational technology that supports both business growth and operational design. The company has made continuous investments in this area. In 2016, it established “AI Lab” to conduct research and development of a wide range of AI technologies related to digital marketing. In 2023, it further launched the “AI Operations Office” to build an organizational framework for leveraging AI as a means of transforming business operations.

These efforts are centered on the adoption of ChatGPT Enterprise and Codex. Given the nature of its businesses in advertising, media, and gaming, CyberAgent’s competitive advantage lies in improving both quality and productivity at the same time, while also using AI to rapidly iterate through hypothesis testing. By making ChatGPT Enterprise the foundation of its AI environment, the company has enabled employees to use AI confidently in their daily work, supported by strong security and management capabilities. Today, using ChatGPT for tasks such as research, drafting, and organizing key points has become standard practice, while humans continue to hold final decision making responsibility. Codex is also helping people move faster in design discussions, code review, and documentation.

How ChatGPT Enterprise enabled secure AI adoption

Even before the emergence of generative AI, CyberAgent had been advancing research and development aimed at leveraging AI in the advertising domain. In 2020, the company introduced “Kiwami Prediction AI,” promoting initiatives to integrate AI into the advertising creative production process.

After ChatGPT was released in 2022, the use of AI in employees’ daily work expanded rapidly. As business use grew, the need for stronger security, governance, and clear rules became more important. A major challenge was uncertainty about what information could be safely entered into AI tools, which created hesitation and slowed adoption. Usage also varied across departments and individuals, making it difficult to share knowledge and manage AI use across the company.

To address those challenges, CyberAgent adopted ChatGPT Enterprise, which offers management features designed for enterprise use. ChatGPT Enterprise enables companies to manage how input data is handled in accordance with their specific requirements, including contracts, configurations, and operational policies. It also provides enterprise-grade security and access control features, allowing employees to confidently incorporate AI into their daily work. Furthermore, CyberAgent has established internal guidelines for handling confidential information to ensure safe and secure use.

Ken Takao, Manager in the Data Technology Department of the Corporate IT Promotion Division, says ChatGPT Enterprise helped create an environment where employees could use AI without hesitation. 

“With enterprise features such as account management and visibility into usage, ChatGPT Enterprise made it possible to support business use of a wide range of information, excluding confidential data. As a result, the scope of AI use across the company has expanded, and many employees now use it in their daily work.”

Why adoption spread without being forced

CyberAgent does not typically enforce the use of specific tools across the organization. ChatGPT Enterprise is no exception, with each team, department, and subsidiary evaluating it alongside other tools and adopting it based on their own objectives. Even so, it is now used across nearly all departments, reaching a monthly active user rate of 93%.

That growth was driven by deliberate culture building inside the company, along with ongoing training support from OpenAI.

From a cultural perspective, CyberAgent has implemented mechanisms to encourage proactive use, such as sharing knowledge including prompts and successful use cases, as well as internal rankings that allow employees to understand their own AI tool usage. (These rankings are designed so that individuals can only view their own data and are not used for evaluation purposes.)

CyberAgent also built follow-ups into its operating model. When an employee has not used the tool for a certain period, their bot reaches out on Slack to understand why. If the employee is using another AI tool, the conversation helps clarify which tools are being used and for what purpose. If they are not using any AI tools, CyberAgent suggests ways AI could support their specific work.

As part of efforts to encourage adoption, a light follow up is conducted via Slack when a tool has not been used for a certain period. Employees are asked whether they are using other AI tools and what challenges they may be facing. If needed, they are also given suggestions and practical tips on how to use AI more effectively in their work.

In addition, training sessions and workshops hosted by OpenAI have played a significant role. Despite often being organized within just a few days of announcement, more than 100 employees participated in each of over ten sessions. Those sessions ranged from beginner friendly introductions such as “ChatGPT Enterprise 101” to workshops on custom GPTs, hands on Codex sessions, and internal hackathons. Together, CyberAgent and OpenAI designed learning opportunities for different roles and levels of maturity, helping employees build their first successful experiences with AI in practical ways.

How Codex is improving decisions before implementation

Codex adoption is growing quickly across CyberAgent. Teams are using it for far more than code generation, especially in upstream work such as design, alignment, and evaluation, where better decisions early on can reduce rework later.

Takao points to three use cases in particular:

• Reviewing, evaluating, and pressure-testing design proposals from multiple perspectives.
• Generating improvement suggestions during code review and selecting among multiple options.
• Building and maintaining knowledge documents such as AGENTS.md so agents can operate with richer context.

He also highlights three main benefits from using Codex:

1. Better design quality through proposals that can be evaluated from multiple perspectives.
2. Faster alignment before implementation, helping reduce rework later.
3. Clearer rationale behind proposals helped people make decisions faster.

CyberAgent is also seeing Codex spread beyond engineering. Non-developer roles are starting to use it for writing specifications, creating mockups, and structuring work adjacent to product and development. In some cases, Codex is even helping build the systems that sustain ChatGPT adoption internally. For example, CyberAgent used Codex to build its internal usage ranking system, making adoption more visible and engaging.

How Codex is helping teams move faster with more confidence

Across CyberAgent’s development teams, Codex is increasingly seen not just as a speed tool, but as a way to improve the quality of judgment.

Sou Yoshihara, one of CyberAgent’s top Codex users in the AI Business Division, uses Codex through MCP in Cursor and uses it for the design and implementation planning of Kiwami Prediction AI. Yoshihara says, “Compared with other coding models, Codex gives the impression of producing higher quality proposals,” and sees it not simply as a tool, but as a way  to optimize the development process as a whole.

The same pattern is visible in game development as well. Hidekazu Hora of GOODROID emphasizes that working with Codex made the flow from design to implementation to validation easier to navigate. Hora used Codex in the development of the game WormEscape, which reached soft launch after about one month of development.

“It felt like a reliable partner that supported the entire process from discussing implementation to carrying it out, helping increase development speed. With Codex, even in areas where I had no prior experience, I was able to resolve roadblocks caused by lack of knowledge more quickly, and I feel it helps achieve both quality and speed.”

Across the company, developers are using Codex in different ways, but a common theme has emerged: usability and output quality are what keep bringing teams back. Codex is not only helping people work faster. It is helping them move forward with more confidence.

What’s next 

CyberAgent views AI not as a temporary boom, but as a turning point that will become part of the next standard for the internet industry. With AI Lab as a long term engine for technical advancement and practical business application, the company plans to continue expanding how AI creates value across the organization.

What stands out about CyberAgent’s approach is not only the scale of adoption, but how that adoption has taken shape. In a culture without blanket mandates, teams choose the tools that work for them, learn how to use them well, and build systems that help adoption spread further. ChatGPT Enterprise and Codex have become more than productivity tools. Together, they are helping CyberAgent move from introducing AI to embedding it in everyday work, and from adoption to redesigning how work gets done.

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