A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
A leading AI research lab serves a diverse user base ranging from free consumers to complex enterprise API customers.
A single-person support team struggled to manage rapidly growing ticket volumes while balancing the needs of different user segments. They required a...
“We know that an AI-native strategy will always outperform an AI-added strategy. That’s why we’ve been so excited to build Fin into our workflows and prove it can make a big impact in support operations.”
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Intercom is a SaaS company that specializes in customer communication and engagement.
Anthropic's Customer support is part of this use case:
Related implementations across industries and use cases
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
A leading AI research lab serves a diverse user base ranging from free consumers to complex enterprise API customers.
A single-person support team struggled to manage rapidly growing ticket volumes while balancing the needs of different user segments. They required a...
“We know that an AI-native strategy will always outperform an AI-added strategy. That’s why we’ve been so excited to build Fin into our workflows and prove it can make a big impact in support operations.”
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Intercom is a SaaS company that specializes in customer communication and engagement.
Anthropic's Customer support is part of this use case:
Related implementations across industries and use cases
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.