Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
A Japanese technology conglomerate operates over 70 businesses across e-commerce and fintech, employing thousands of developers to manage massive, multi-language codebases.
Existing AI coding tools required constant human guidance and could not navigate the organization's complex architecture. Manual execution of...
“We want to give all our teams the power to innovate quickly and drive greater impact for customers faster. It's about multiplying what each team can achieve, not just automating existing tasks.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Prototyping tools took weeks of planning. Now, clinical teams generate working mockups in minutes during live meetings to test ideas.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
A Japanese technology conglomerate operates over 70 businesses across e-commerce and fintech, employing thousands of developers to manage massive, multi-language codebases.
Existing AI coding tools required constant human guidance and could not navigate the organization's complex architecture. Manual execution of...
“We want to give all our teams the power to innovate quickly and drive greater impact for customers faster. It's about multiplying what each team can achieve, not just automating existing tasks.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Prototyping tools took weeks of planning. Now, clinical teams generate working mockups in minutes during live meetings to test ideas.
Talent shortages held back delivery. Engineers now use AI to review code 90% faster and cut 24-hour tasks to one hour.
Legacy tools failed at complex migrations. Claude Code now navigates the full codebase, cutting API builds from 2 days to 5 hours.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.