Teams across 70 businesses built AI in silos. A secure hub now lets engineers test models and deploy custom chatbots to 32,000 employees.
A Japanese technology and commerce conglomerate operating one of the country's largest online shopping malls, with 70+ businesses spanning e-commerce, travel, digital content, fintech, and communications.
Business clients relied on dedicated consultants for marketplace guidance, market analysis, and documentation queries, a model that couldn't scale to...
“LangSmith allows us to get things done scientifically. At a large company, usually multiple teams develop their ideas independently. Some teams find good approaches, while others don’t. By using LangSmith Hub, we could distribute the best prompts and promote collaboration across teams.”
E-commerce, fintech, and telecommunications services platform.
Framework and developer platform for building LLM-powered applications.
Rakuten Group's Knowledge management is part of this use case:
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
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Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Teams across 70 businesses built AI in silos. A secure hub now lets engineers test models and deploy custom chatbots to 32,000 employees.
A Japanese technology and commerce conglomerate operating one of the country's largest online shopping malls, with 70+ businesses spanning e-commerce, travel, digital content, fintech, and communications.
Business clients relied on dedicated consultants for marketplace guidance, market analysis, and documentation queries, a model that couldn't scale to...
“LangSmith allows us to get things done scientifically. At a large company, usually multiple teams develop their ideas independently. Some teams find good approaches, while others don’t. By using LangSmith Hub, we could distribute the best prompts and promote collaboration across teams.”
E-commerce, fintech, and telecommunications services platform.
Framework and developer platform for building LLM-powered applications.
Rakuten Group's Knowledge management is part of this use case:
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Teams hunted for context across Slack and Jira. By integrating 20+ tools, AI now queries 7 years of history, saving 9 hours weekly.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.