The use case: how SpotOn deploys Confluence
SpotOn uses Rovo AI agents across its Atlassian apps, including Confluence, Jira Service Management and Slack. The agents answer sales product questions, draft product requirement documents and score incoming ideas.
More reported results
Figures published in Confluence’s case study. They are not independently measured by usedby.
deflected 55% with no follow-up needed
the Sales Support Agent answered 95% of questions
the number of messages from employees grew by 63%
documents that are 75% complete with the click of a button
In the customer’s words
Rovo works the way our teams already work. Instead of asking our team to adopt another standalone Al tool, we brought Al into Jira Service Management, Slack, and Confluence. That's what turns Al from a test into part of how the business runs.Other AI tools used by SpotOn
Other public relationships recorded on usedby.
Explore SpotOn’s AI stack
Confluence users in Fintech & Payments
Companies in the same sector, with public evidence.
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Go straight to the source
Based on Confluence’s published case study. We check the public evidence; the results are reported by the vendor.
atlassian.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 40 hoursChecked
Printed word for word on the page, near the name of SpotOn.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of SpotOn.
- SpotOn uses ConfluenceChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Having an AI teammate answering basic questions is not only saving 40 hours a month, but is also helping the Sales Team move deals forward faster.