Building basic classifiers took PhDs a month. Now, autonomous agents resolve 90% of tickets, including sensitive refund workflows.
A customer support automation platform founded by former Uber engineering leaders who previously built systems saving that company an estimated $5-6 billion annually.
Traditional machine learning approaches were resource-intensive, requiring two PhD data scientists to spend a month building a basic ticket...
“Most companies consider customer support a necessary evil and try to solve challenges by throwing more people at the problem rather than investing in technology.”
AI customer service automation platform for e-commerce and BPOs.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Nuanced queries forced human hand-offs. Now, AI agents reason through complex tasks to resolve 91% of global tickets autonomously.
Rote tasks overwhelmed agents. AI now ingests CRM data and self-checks answers to resolve 93% of tickets autonomously.
Previous AI lagged 20s and lost context. A new copilot now summarizes history and drafts replies in <10s, boosting productivity 30%.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.