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Use Case

Resolve support tickets autonomously with AI agents

Build AI agents that handle tier-1 support tickets end-to-end. Your agents read tickets, pull context from your knowledge base, draft responses, and escalate edge cases to humans — around the clock.

The Problem

  • Support teams drowning in repetitive tier-1 tickets
  • Slow response times leading to customer churn
  • Inconsistent answers across different support reps
  • Expensive to scale human support teams 24/7

How It Works

  1. 1Connect your knowledge base, help docs, and ticket history
  2. 2Define agent reasoning patterns for common ticket categories
  3. 3Set escalation rules for edge cases and sensitive issues
  4. 4Deploy and monitor with real-time observability dashboards

Results

  • 80% reduction in average first-response time
  • Handle 10x ticket volume without scaling headcount
  • Consistent, accurate responses grounded in your docs
  • Seamless human handoff when agents hit their limits

Example Agent Prompt

Resolve this billing inquiry by checking the customer's subscription status and recent invoices, then draft a response explaining the charge.

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