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.
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.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Static spreadsheets bottlenecked approvals. Now, non-technical staff use AI to build guided, interactive workflows in minutes.
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.
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.
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.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Static spreadsheets bottlenecked approvals. Now, non-technical staff use AI to build guided, interactive workflows in minutes.
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.