Manual routing slowed 1M+ inquiries. GenAI agents now resolve routine tickets, cutting resolution time by 34%.
An AI-first software platform fielding over one million customer inquiries each year.
Customer experience operated as a transactional back-office function, with large teams facing high attrition and misrouted tickets creating...
“We conducted a rigorous RFP process, evaluating everything from interaction quality and user interface to the depth of integrations, product roadmap, and the caliber of engagement and partnership offered. Decagon stood out across the board - not just in these core areas, but also through their close collaboration with our technical team and their ability to meet our stringent security and compliance standards.”
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Generative AI platform for automated enterprise customer support and workflows.
Notion's Customer support is part of this use case:
Related implementations across industries and use cases
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.
Manual routing slowed 1M+ inquiries. GenAI agents now resolve routine tickets, cutting resolution time by 34%.
An AI-first software platform fielding over one million customer inquiries each year.
Customer experience operated as a transactional back-office function, with large teams facing high attrition and misrouted tickets creating...
“We conducted a rigorous RFP process, evaluating everything from interaction quality and user interface to the depth of integrations, product roadmap, and the caliber of engagement and partnership offered. Decagon stood out across the board - not just in these core areas, but also through their close collaboration with our technical team and their ability to meet our stringent security and compliance standards.”
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Generative AI platform for automated enterprise customer support and workflows.
Notion's Customer support is part of this use case:
Related implementations across industries and use cases
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.