The use case: how reMarkable deploys Agentforce
reMarkable uses Agentforce to run an AI assistant named Mark that handles common customer support inquiries around the clock and hands off to live reps with full context when needed. It also uses a second agent, Saga, in Slack to answer employee IT questions and create Jira tickets for complex issues.
More reported results
Figures published in Agentforce’s case study. They are not independently measured by usedby.
Mark has already resolved more than 10,500 customer inquiries and even right after launch, 21% of customers chose to engage with Mark over a live rep.
In the customer’s words
When you’re growing fast, hiring and training employees to keep building the capacity to serve your new customers gets to be too hard. Agentforce gives us a way to break that linear scaling model without scaling headcount at the same pace.Other AI tools used by reMarkable
Other public relationships recorded on usedby.
Explore reMarkable’s AI stackOther companies using Agentforce
Customers across industries, with public evidence.
1-800AccountantConfirmed
AccentureConfirmedAflac JapanConfirmed
BionicConfirmed
CVS HealthConfirmed
Endress+HauserConfirmedGo straight to the source
Based on Agentforce’s published case study. We check the public evidence; the results are reported by the vendor.
salesforce.com- Last checked
- Nov 15, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 37%Checked
Printed word for word on the page, near the name of reMarkable.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of reMarkable.
- reMarkable uses AgentforceChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
By automatically handling 37% of incoming cases, Mark lightens the load for support teams, giving reps more time to focus on thoughtful, high-impact customer interactions.

