AI for support case resolution

An AI employee assistant that helps your team resolve tickets faster—with context, automation, and confidence.

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Close cases faster with generative AI for support

By unifying content and signals across tools like Zendesk, Salesforce, and Slack, Mosaic AI eliminates the hunt for information and automates the repetitive steps that slow teams down.

Your customers expect fast, accurate answers. Mosaic AI gives your reps the context they need to deliver both.

SummarizationAI ticket summarization instantly condenses conversations into key points.

Resolution automationCase resolution automation surfaces next-best actions for faster ticket handling.

InsightsProactive insights detect escalation risks before they occur.

How Mosaic AI speeds resolution

Centralized context

Unify tickets, chat, and knowledge into one searchable layer—so reps never start from zero.

Instant understanding

AI ticket summarization transforms long threads into actionable summaries in seconds.

Automated next steps

Case resolution automation recommends the best action based on similar cases and outcomes.

Escalation reduction

Detect recurring blockers and prevent unnecessary handoffs with proactive AI alerts.

Built for the way support teams actually work

Mosaic AI travels with your reps through every step of the workflow—inside Zendesk, Slack, Salesforce, and more. It helps resolve cases faster without switching tabs, retraining agents, or replacing your existing systems.

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Frequently Asked Questions

Get quick answers to your questions. To understand more, contact us.

How does Mosaic AI help resolve tickets faster?

It summarizes incoming cases, retrieves related solutions, and assists agents with contextual recommendations for instant replies.

What is AI-driven ticket summarization and triage?

AI captures essential ticket context—topic, urgency, and sentiment—so cases are routed to the right queue automatically.

How do AI agents prevent case escalation?

By giving Tier 1 agents full context and AI-generated solutions, issues are resolved early, reducing the need for Tier 2 involvement.

How can teams measure improvement in resolution time?

Track metrics like average handle time, first-response rate, and resolution velocity before and after automation deployment.