Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
A Japanese internet enterprise spanning advertising, media, and gaming relies on rapid hypothesis testing to maintain its competitive advantage across multiple digital markets.
As generative AI usage grew rapidly, uncertainty about data security and a lack of clear governance created employee hesitation that slowed adoption....
“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.”
CyberAgent's Software development is part of this use case:
Digital advertising agency, streaming media operator, and mobile game developer.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Internal tools took months to build. Now, AI turns recorded brainstorms into specs and code, shipping 2 MVPs weekly.
Evaluating one investment took 2 hours. Custom GPTs cut reviews to 5 minutes, reducing the division's workload by 70%.
Strict security blocked CLI coding tools. Using a pre-configured AI assistant, engineers compress weeks of manual migration into days.
Internal tools took months to build. Now, AI turns recorded brainstorms into specs and code, shipping 2 MVPs weekly.
Strict security blocked CLI coding tools. Using a pre-configured AI assistant, engineers compress weeks of manual migration into days.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
A Japanese internet enterprise spanning advertising, media, and gaming relies on rapid hypothesis testing to maintain its competitive advantage across multiple digital markets.
As generative AI usage grew rapidly, uncertainty about data security and a lack of clear governance created employee hesitation that slowed adoption....
“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.”
CyberAgent's Software development is part of this use case:
Digital advertising agency, streaming media operator, and mobile game developer.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Internal tools took months to build. Now, AI turns recorded brainstorms into specs and code, shipping 2 MVPs weekly.
Evaluating one investment took 2 hours. Custom GPTs cut reviews to 5 minutes, reducing the division's workload by 70%.
Strict security blocked CLI coding tools. Using a pre-configured AI assistant, engineers compress weeks of manual migration into days.
Internal tools took months to build. Now, AI turns recorded brainstorms into specs and code, shipping 2 MVPs weekly.
Strict security blocked CLI coding tools. Using a pre-configured AI assistant, engineers compress weeks of manual migration into days.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.