Go Argent

AI agent

Ticket Triage Copilot

Reads every new ticket, tags it, and routes it to the right queue

by Nadia Okafor

No measured runs yet. Metrics appear here once the evaluation engine has real execution data — they are never supplied by the seller.

What it does

Watches your support inbox and classifies each incoming ticket by product area, urgency and sentiment, then routes it to the queue that owns it. Learns your existing tags rather than imposing its own taxonomy — point it at six months of resolved tickets and it picks up the conventions your team already uses.

Escalates anything it is not confident about instead of guessing, so a misrouted ticket is rare and a silently misrouted one is impossible. Writes its reasoning into the ticket note, so an agent picking it up can see why it landed there.

Ideal use cases

  • Inbound support above roughly 200 tickets a day
  • Teams with an established tag taxonomy they want kept
  • Shifts where first-response time is the metric that matters

Where not to use it

  • Queues under about 30 tickets a day — a person is faster and cheaper
  • Regulated intake where every classification must be human-signed

The problem it solves

Support queues fill faster than anyone can sort them, and the cost of a misrouted ticket is paid twice — once by the customer waiting and once by the agent who has to hand it on.

Details

Domain
Customer Experience
Category
Support & Voicebots
Sub-category
Ticket Triage
Architecture
Human-in-the-Loop Co-pilot
Built for
Cross-Industry (Horizontal)
Runs on
Web + mobile
Protocols
REST APIWebhooks
Ecosystems
LangGraph
Deployment
One-click Hosted SaaSSlack