Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
A global technology company operating over 70 businesses across e-commerce, travel, fintech, digital content, and communications.
To move beyond simple chat interfaces, engineers had to invest significant effort into building custom infrastructure for persistent compute, memory,...
“In our pilot, initial critical errors dropped by 97%, with cost and latency down more than 30%, without any loss in output quality. Agents adapt, avoiding mistakes they have already seen.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Rakuten Group's Workflow automation is part of this use case:
Related implementations across industries and use cases
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
A global technology company operating over 70 businesses across e-commerce, travel, fintech, digital content, and communications.
To move beyond simple chat interfaces, engineers had to invest significant effort into building custom infrastructure for persistent compute, memory,...
“In our pilot, initial critical errors dropped by 97%, with cost and latency down more than 30%, without any loss in output quality. Agents adapt, avoiding mistakes they have already seen.”
Internet services ecosystem spanning e-commerce, fintech, and telecommunications.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Rakuten Group's Workflow automation is part of this use case:
Related implementations across industries and use cases
Massive updates took a month. Now, autonomous agents run 24 parallel sessions to ship features in just 5 days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.