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Software & TechnologyModern / Digital Business

Scaling smarter: How Gamma supports 50M users with 20 agents and Fin

Gamma, an AI-powered presentation app with 50 million users, struggled with surging support volumes, long wait times, and low CSAT. By implementing Fin, an AI customer agent from Intercom, Gamma dramatically reduced manual handling from 94% to 24%, resolving 75% of monthly conversations and improving CSAT from 69% to 84% with a lean team of 20 agents.

Gamma 50M+ users Global
Gamma
Reduced manual handling from 94% to 24%
for inbound support conversations

The Business

Gamma, an AI-powered presentation app with 50 million users, struggled with surging support volumes, long wait times, and low CSAT. By implementing Fin, an AI customer agent from Intercom, Gamma dramatically reduced manual handling from 94% to 24%, resolving 75% of monthly conversations and improving CSAT from 69% to 84% with a lean team of 20 agents.

Gamma · Global · 50M+ users.

Before AI

As Gamma's user base soared past 50 million, their small support team struggled to keep up with 30,000 inbound conversations per month, across multiple languages and time zones. The team's median first-response time climbed to 90 minutes, CSAT dropped to around 69%, and manual handling was at 94%.

What Changed

Gamma implemented Fin, an AI customer agent, which now handles 100% of inbound support conversations and resolves 75% of them end-to-end. This reduced manual handling from 94% to 24%, increased CSAT to 84%, and enabled a lean team of 20 agents to provide 24/7 global, multilingual support for 50 million users.

The Result

Fin is involved in 100% of inbound support conversations, resolves 75% of them end-to-end, and delivers over 18,000 resolutions monthly. Manual handling was reduced from 94% to 24%, and CSAT improved from 69% to a steady 84%, enabling a team of 20 agents to support 50 million users.

Why this matters

How AI customer agents enable massive scale with minimal human overhead

This case demonstrates how even large, rapidly growing companies can manage immense customer support volumes without proportionally scaling their human teams. By deploying an advanced AI agent, Gamma shifted its support model from reactive, labor-intensive processes to proactive, automated resolutions, freeing human agents for strategic tasks. This approach is highly transferable, especially for startups and SMEs aiming for hyper-growth. It proves that AI isn't just for efficiency gains but can fundamentally reshape service delivery, allowing businesses to maintain high customer satisfaction and global reach with a significantly leaner operational footprint.

Technology Used

Fin (AI customer agent)
by Intercom

Used for:

Handling 100% of inbound support conversationsResolving 75% of conversations end-to-endProviding 24/7 global, multilingual supportDetecting sentiment and smart routingDrawing from internal and external knowledge bases for accurate answersTriaging cold outreach emailsDetecting and handling billing issues, refund requests, and payment failures via Stripe integrationAnswering questions in Slack community

Source

Intercom
Vendor customer story
Scaling smarter: How Gamma supports 50M users with 20 agents and Fin
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Results are reported by the identified source/company and have not necessarily been independently verified by AI YAI YAI.

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