All Use Cases
Customer Support Automation
AI-powered ticket triage, RAG-based support bots, and multi-channel routing — all from a single workflow.
The manual support problem
- Support agents spend 60-70% of time on repetitive, easily automatable queries
- Ticket categorization and routing is inconsistent and slow
- Knowledge base answers exist but agents can't find them fast enough
- Follow-up reminders and CSAT surveys require manual tracking
- Scaling support means hiring linearly — no leverage
How FlowTrux solves it
Build an AI support pipeline that automatically triages tickets, generates draft responses from your knowledge base, routes complex issues to the right team, and follows up after resolution.
Workflow Pattern
Webhook (ticket) → Agent (RAG + classify severity) → If-Else (simple/complex) → [Simple: Agent (generate response) → Slack (post)] [Complex: Slack (escalate to team)] → Long Delay (24h) → Agent (CSAT check) → Gmail (survey)
Key FlowTrux features
- RAG Knowledge Base — AI answers grounded in your docs
- Slack & Telegram MCP — multi-channel notifications
- Agent with tool calling — classify, draft, and respond
- Long Delay — automated follow-ups after hours/days
- Approval Flows — human-in-the-loop for edge cases
Expected results
< 30 seconds
First response time
40-60%
Tickets auto-resolved
15-20 hrs/week
Agent time saved
< 1 hour
Setup time
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