Mosaic AI analyzes every case, surfaces the product issues and customer risks behind your support volume, and routes the signal directly to the team that can fix it, automatically.
The signals are in your cases, but they are trapped in dashboards nobody opens. Recurring issues get re-handled instead of fixed, and reporting eats hours a week.
Every case is enriched and categorized automatically, so the patterns behind your cost to serve are visible without building a report.
Detect rising problems and at-risk accounts early, so your team can act before the same issues create more cases.
Route insights and supporting evidence to Product, Engineering, or Customer Success so teams can address issues at the source.
Mosaic AI analyzes cases alongside connected customer and product data.
Add shared categories, product details, and sentiment across the queue.
Group cases by product and issue to reveal patterns across the support operation.
Share patterns and evidence with Product, Engineering, or Customer Success, and alert the right teams automatically.
“We scaled our Mosaic AI deployment from production pilot to full adoption across multiple business units in under 10 weeks.”
“We see plenty of opportunities where it’s going to help us streamline our customer interactions and make us more efficient and effective.”
“We have been able to scale and keep up with the demands without having to add a significant amount of headcount. With basically the same size team we had last year, we’ve made improvements.”
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Applies consistent categories, severity, product, and version to every case, then uses that context to surface trends without manual tagging.
Spot emerging product issues and at-risk accounts early, before they drive repeat cases or churn.
Insights alerts reach the right person in Slack, Teams, email, or their support platform, with the evidence they need to act.
Connects to 100+ integrations. Start indexing your full support stack within weeks. No data migration. No engineering required.
Connect your systems once, then build agents for any workflow on one shared framework. Every agent uses the same data, integrations, and controls, so you can expand without adding another point solution.
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We analyze your real case data, at no cost, to find where time, effort, and spend accumulate, what can be automated, and how much it would lower your cost to serve.
You get a live environment built for your top use cases, running on your own systems, using your own case history. You see the result before you sign anything.
Deployed on top of Salesforce, Zendesk, and the rest of your stack. No migration, no developer resources, deployment expertise included.
Mosaic AI analyzes cases, chat, and sentiment across your Customer Context Model. Insights surface the patterns your team should act on first.
By grouping cases by topic, intent, and sentiment, Mosaic AI identifies recurring issues, training gaps, and emerging product problems, so leaders see the pattern instead of a pile of individual cases.
Mosaic AI flags declining sentiment, delayed response patterns, and repeat cases, so teams can act before issues escalate into churn.
Sentiment tracking powers real-time alerts that prioritize urgent or negative interactions, so your team can step in faster and protect CSAT and retention.
Mosaic AI uses conversational agents and an enrichment process to continuously analyze trends across your entire support stack, giving you both the high-level view and the root-cause detail behind it.
Insights group related cases into recurring product issues, ranks them by how much support volume and customer impact they're driving, and routes them to Product and Engineering in Slack, Teams, or email, with the underlying cases attached. Instead of waiting for Support to notice a pattern and escalate it, Product and Engineering get evidence-backed priorities as they emerge, and can drill from any trend into the individual cases behind it.
We’ll analyze a sample of your cases to surface emerging issues, at-risk accounts, and signals your team can act on sooner.
