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.
Related implementations across industries and use cases
Complex refunds once required human review. Rigorous testing now lets AI resolve millions of multi-step queries monthly.
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
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.
Related implementations across industries and use cases
Complex refunds once required human review. Rigorous testing now lets AI resolve millions of multi-step queries monthly.
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
With response times hitting 90 minutes, staff faced burnout. AI now resolves 72% of tickets, cutting manual handling from 94% to 24%.
Acquisitions scattered data across legacy systems. Layering AI over the stack drove automated resolution from 20% to 72%.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.