27k monthly cases strained teams. AI agents now resolve 37% of inquiries and automate internal IT support via Slack.
A premium technology company valued at $1 billion has sold over 3 million paper tablets, handling more than 27,000 service cases every month.
Maintaining high-quality service with a human-only model became unsustainable as inquiry volume surged, while disconnected legacy systems created...
“We were CRM buffeters. We collected CRMs. And suddenly it was as though our job became picking the right software and then figuring out which consultants we were going to pay to integrate them. And all that time and money was directed in the wrong place. Our job is to create great customer experiences. And this was stealing time away from that.”
Paper tablets and digital notebooks for distraction-free writing and sketching.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
reMarkable's Customer and IT support is part of this use case:
Related implementations across industries and use cases
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
27k monthly cases strained teams. AI agents now resolve 37% of inquiries and automate internal IT support via Slack.
A premium technology company valued at $1 billion has sold over 3 million paper tablets, handling more than 27,000 service cases every month.
Maintaining high-quality service with a human-only model became unsustainable as inquiry volume surged, while disconnected legacy systems created...
“We were CRM buffeters. We collected CRMs. And suddenly it was as though our job became picking the right software and then figuring out which consultants we were going to pay to integrate them. And all that time and money was directed in the wrong place. Our job is to create great customer experiences. And this was stealing time away from that.”
Paper tablets and digital notebooks for distraction-free writing and sketching.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
reMarkable's Customer and IT support is part of this use case:
Related implementations across industries and use cases
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Routine requests buried support staff. AI agents now resolve 71% of cases autonomously, from billing answers to smart charging setup.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.