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.
Teams searched 32,000 scattered docs to fix devices. AI now mines that data to resolve 50% of cases autonomously.
Global expansion stretched support agents thin. Now, an AI agent resolves nearly half of all tickets, freeing the team for complex cases.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Teams searched 32,000 scattered docs to fix devices. AI now mines that data to resolve 50% of cases autonomously.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
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.
Teams searched 32,000 scattered docs to fix devices. AI now mines that data to resolve 50% of cases autonomously.
Global expansion stretched support agents thin. Now, an AI agent resolves nearly half of all tickets, freeing the team for complex cases.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Teams searched 32,000 scattered docs to fix devices. AI now mines that data to resolve 50% of cases autonomously.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.