AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
A customer service software provider supporting a hypergrowth trajectory since 2011, serving thousands of businesses with high-volume support tools.
Automating support required handling complex inquiry types while strictly protecting against model hallucinations. The system needed to verify that...
“Fin will say, ‘Hey, here's knowledge I think you should add. Here’s an API that, if I had, I could resolve more.’”
Intercom is a SaaS company that specializes in customer communication and engagement.
Cloud computing platform and on-demand infrastructure services.
Worked with Intercom to develop Fin, its AI agent, using Claude models on AWS.
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.
Redaction stripped context, forcing agents to rebook tickets. Native security now lets AI resolve complex requests without a handoff.
Early AI models hallucinated. Now, agents ingest technical docs in real-time to verify compliance and resolve inquiries accurately.
Early AI models hallucinated. Now, agents ingest technical docs in real-time to verify compliance and resolve inquiries accurately.
Manual routing slowed 1M+ inquiries. GenAI agents now resolve routine tickets, cutting resolution time by 34%.
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.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
A customer service software provider supporting a hypergrowth trajectory since 2011, serving thousands of businesses with high-volume support tools.
Automating support required handling complex inquiry types while strictly protecting against model hallucinations. The system needed to verify that...
“Fin will say, ‘Hey, here's knowledge I think you should add. Here’s an API that, if I had, I could resolve more.’”
Intercom is a SaaS company that specializes in customer communication and engagement.
Cloud computing platform and on-demand infrastructure services.
Worked with Intercom to develop Fin, its AI agent, using Claude models on AWS.
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.
Redaction stripped context, forcing agents to rebook tickets. Native security now lets AI resolve complex requests without a handoff.
Early AI models hallucinated. Now, agents ingest technical docs in real-time to verify compliance and resolve inquiries accurately.
Early AI models hallucinated. Now, agents ingest technical docs in real-time to verify compliance and resolve inquiries accurately.
Manual routing slowed 1M+ inquiries. GenAI agents now resolve routine tickets, cutting resolution time by 34%.
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.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.