Triage every ticket in seconds — by topic, urgency, and the right specialist.
ChatGPT classifies each new ticket against your taxonomy, attaches the customer's account context, routes to the right queue, and proposes the next step the agent should take.
23 tickets routed in the last hour. Latest billing escalation:
Customer
“We were charged twice for our March seat-add ($840 overage). Need this resolved before Friday's board meeting.”
Agent draft · in your tone
Hi Theo — apologies for the double-charge. Refund of $840 has been queued (3–5 business days), and I've flagged the seat-add webhook bug for engineering. I'll personally confirm the refund as soon as Stripe clears it.
How does OpenAI (ChatGPT) work for ticket routing automation?
OpenAI (ChatGPT) works for ticket routing automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to OpenAI (ChatGPT) alongside the other apps your team already uses, watches for the triggers that matter for ticket routing, and takes the next step on its own while keeping a complete audit trail for review. AI categorizes and prioritizes support tickets the moment they arrive — no manual triage needed. Teams typically see instant to the right queue and agent once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Hi Theo — apologies for the double-charge. Refund of $840 has been queued (3–5 business days), and I've flagged the seat-add webhook bug for engineering. I'll personally confirm the refund as soon as Stripe clears it.
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Riverline Co.9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #5104.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #5104 as the matching topic.
Frequently asked questions
Two passes — content classification (billing? bug? how-to?) and customer context (plan tier, account size, prior tickets, SLA). Both feed into your routing rules. Edge cases go to a triage queue with the agent's best guess attached.
The agent surfaces tickets that didn't fit any category and proposes new ones monthly. You confirm or merge them — taxonomy stays current without manual review work.
Yes. The agent reads your queue structure, attached SLAs, and assignment rules from your helpdesk and routes accordingly.
Reroute rate — how often the receiving agent moves the ticket back. Most teams see <5% reroutes within a month, vs. 12–18% on rule-based routing.
Optional. For known patterns it can send an acknowledgment with ETA based on the queue's current load — without committing to an answer.
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