Support ran through one inbox as volume surged 269%. An AI agent handles the routine; the team focuses on billing, privacy, and edge cases.
An AI-powered search and answer engine whose average daily support volume grew 269% year-over-year, serving a user base ranging from consumers and students to enterprise administrators, each with different needs and expectations.
Support began as a single email channel, but rapid product growth meant the team was simultaneously handling more volume, onboarding new policies,...
“We wanted to be able to free our live team to focus on the unique use cases that an automation wouldn't be able to handle.”
Perplexity is a technology company that specializes in artificial intelligence and machine learning solutions.
Generative AI platform for automated enterprise customer support and workflows.
Perplexity's Customer support is part of this use case:
Related implementations across industries and use cases
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
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.
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%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Support ran through one inbox as volume surged 269%. An AI agent handles the routine; the team focuses on billing, privacy, and edge cases.
An AI-powered search and answer engine whose average daily support volume grew 269% year-over-year, serving a user base ranging from consumers and students to enterprise administrators, each with different needs and expectations.
Support began as a single email channel, but rapid product growth meant the team was simultaneously handling more volume, onboarding new policies,...
“We wanted to be able to free our live team to focus on the unique use cases that an automation wouldn't be able to handle.”
Perplexity is a technology company that specializes in artificial intelligence and machine learning solutions.
Generative AI platform for automated enterprise customer support and workflows.
Perplexity's Customer support is part of this use case:
Related implementations across industries and use cases
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
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.
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%.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.