Nuanced queries forced human hand-offs. Now, AI agents reason through complex tasks to resolve 91% of global tickets autonomously.
A customer support automation platform serving tech-forward companies like Duolingo and Notion, handling millions of complex interactions globally.
Traditional automation tools lacked the reasoning capabilities to handle nuanced inquiries, often forcing escalation to human agents. Latency in...
“We know that latency has a direct impact on customer satisfaction. Every second counts when you're dealing with real-time customer support.”
Generative AI platform for automated enterprise customer support and workflows.
AI research and deployment company developing generative models and tools.
Decagon's Customer support automation is part of this use case:
Related implementations across industries and use cases
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Nuanced queries forced human hand-offs. Now, AI agents reason through complex tasks to resolve 91% of global tickets autonomously.
A customer support automation platform serving tech-forward companies like Duolingo and Notion, handling millions of complex interactions globally.
Traditional automation tools lacked the reasoning capabilities to handle nuanced inquiries, often forcing escalation to human agents. Latency in...
“We know that latency has a direct impact on customer satisfaction. Every second counts when you're dealing with real-time customer support.”
Generative AI platform for automated enterprise customer support and workflows.
AI research and deployment company developing generative models and tools.
Decagon's Customer support automation is part of this use case:
Related implementations across industries and use cases
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.