Mosaic AI finds the knowledge gaps driving repeat cases and turns proven resolutions into review-ready articles, automatically.


The problem
You support a dozen products and can't see what's driving case volume in each. The evidence is buried across thousands of resolved cases, making recurring patterns and high-impact gaps difficult to identify. Without that visibility, expertise stays trapped, the same issues get solved again and again, and the knowledge base falls further behind.
Mosaic AI groups resolved cases into recurring topics by product line, checks which ones your knowledge base already covers, and ranks the gaps by the case volume they drive. Thousands of cases become one prioritized list of what to document next.
For each gap, Knowledge drafts a review-ready article from the real troubleshooting behind the resolution, not from a template. Your team already wrote the article. They just did it inside a case.
Knowledge automatically handles the first draft, structure, and tagging. Your experts verify the details, make any edits, and approve publication. Nothing goes live without their review.
Published articles flow into Self-Service, so the next customer with the same issue resolves it without ever creating a case.
The compounding loop
Knowledge turns proven troubleshooting from resolved cases into approved articles that Self-Service can use. As coverage grows, more recurring issues are resolved before a case is created, freeing your experts for higher-value work and helping deflection improve over time.
Book a demoThe first time
Hours
For a support engineer to chase context across your systems.
Then, automatically
Draft
Mosaic drafts the article from that first resolution, ready for review.
Every time after
0 min
Self-Service serves it. The next occurrence never becomes a case.
Testimonial
"Thousands of customers are getting instant answers, and 95% never open a support case after, which is huge! Not only did it cover what we needed out of the box, the vision was there. There's so much more that we can do in the future that I'm very excited about."
Knowledge runs on the same Customer Context Model as Assist, Self-Service, and Intelligence, so everything one capability learns is available to the others. Knowledge closes the gaps Self-Service surfaces, and Self-Service starts using the new articles right away, so deflection climbs instead of flattening.
With one set of integrations and a single Customer Context Model feeding every module, scattered case data turns into action automatically.
We transform siloed customer, product, and case data into one Customer Context Model, giving every Mosaic AI capability the context it needs to take the right action. Every capability acts from the same trustworthy source of truth, so answers come with citations, not guesswork.
Connect the tools your teams already use: CRMs and help desks (Zendesk, Salesforce), knowledge bases (Confluence, Google Drive), and internal chat (Slack, Teams). 100+ connectors. No data migration. No engineering dependency.

See Mosaic AI find the gaps in your own support cases and draft the articles that close them.
Quick answers about the shadowing session and the 5-day pilot. Have another question?
Contact UsIt clusters resolved cases into recurring topics, compares them against your existing knowledge base, and ranks the gaps by the case volume they drive.
From the real troubleshooting behind a resolved case, not a template. A person reviews and approves before anything is published.
No. Drafting, structuring, and tagging are automated; review and publishing stay with your experts.
Published articles flow into Self-Service, so the next customer with the same issue resolves it before a case is created.