AI Agent for Ticket Routing — Built for LinkedIn
Automate Ticket Routing for teams using LinkedIn. Arahi AI agents handle the workflow end-to-end — no code, set up in minutes.
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.
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 LinkedIn
Authorize LinkedIn and Arahi AI syncs your lists, campaigns, and analytics data in minutes.
Build Campaign Automation
Create AI-driven workflows triggered by LinkedIn events — new subscribers, email opens, or campaign milestones.
Optimize & Measure
AI continuously optimizes your LinkedIn campaigns while tracking engagement, conversions, and ROI.
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
The LinkedIn integration automates end-to-end ticket routing — including data capture from LinkedIn, validation, routing, follow-up actions, and status updates. Every ticket routing step that touches LinkedIn can be handled by the AI agent.
Yes. You define exactly which LinkedIn events start ticket routing workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so ticket routing actions only fire when your specific criteria are met in LinkedIn.
Teams automating ticket routing through LinkedIn typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what LinkedIn-powered ticket routing automation delivers.
Yes. You can run ticket routing workflows in test mode using sample LinkedIn data before activating on live records. This lets you verify every ticket routing rule works correctly with your LinkedIn setup before processing real data.
The agent reads ticket content, applies linkedin-specific tags (issue type, urgency, customer tier, product area), and routes to the right queue or agent — typically within seconds of ticket creation. Misroutes drop to near zero.
Yes. The agent analyzes ticket sentiment and language patterns to flag frustrated or at-risk customers, prioritizing them for senior-agent attention before satisfaction degrades into churn or public complaints.
Manual ticket routing in LinkedIn requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling ticket routing tasks in real-time as LinkedIn events occur — running 24/7 with consistent accuracy and zero fatigue.
The dashboard shows ticket routing-specific metrics for your LinkedIn integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how LinkedIn-triggered ticket routing workflows perform over time.
When the AI hits an edge case during ticket routing processing in LinkedIn, it escalates to your team with full context — the LinkedIn record, what was attempted, and why it needs review. Your ticket routing pipeline never stalls or loses data.
No coding required. The no-code builder walks you through connecting LinkedIn and configuring ticket routing rules visually. Your team can set up, modify, and manage LinkedIn-based ticket routing workflows without any developer involvement.
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