AgentDepotAisle 03 · Customer Servicesaas-ticket-sentiment-tagger
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SaaS Ticket Sentiment Tagger

Replaces a $45k Support Operations Coordinator by auto-tagging tickets by sentiment and urgency in real-time.

The Problem

SaaS support teams waste hours manually sorting incoming tickets to prioritize angry or urgent customers. Without automated sentiment detection, high-value complaints get buried in the queue, leading to churn and poor NPS scores. A support ops coordinator typically spends 15–20 hours per week on manual ticket triage.

The Outcome

The agent reads each incoming support ticket, detects sentiment (angry, frustrated, neutral, satisfied) and urgency level (critical, high, medium, low), then auto-tags and re-routes tickets to the correct queue or agent. It integrates with your ticketing system to update ticket metadata and can trigger escalation workflows for high-priority cases.

Day in the Life
1.
Mon 9am: 47 new tickets arrive → agent analyzes each one for tone and urgency → tags 8 as 'angry + critical' and moves them to VIP queue
2.
Tue 2pm: frustrated customer email arrives → agent flags as 'high sentiment + medium urgency' → auto-assigns to senior support agent + sends internal alert
3.
Wed 11am: bulk ticket report generated → agent has tagged 312 tickets this week → ops team reviews trends and adjusts staffing
Deploy Specs
Runtime
python
Pattern
native-agent
Tier
medium
Setup Time
hours
Integrations
via Composiomanual setup
ZendeskIntercomFreshdeskHubSpot Service Hub
GitHub Source
Repository
Stars
0
License
MIT
Last Commit
Replace
Support Operations Coordinator
$48,000/yr
AgentDepot · Solo plan
$99/month
Save $46,812/yr · 40.4x cheaper
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Also Replaces
×Zendesk Sentiment Add-on $50/mo
×Intercom Operator $99/mo
Not Technical?
Concierge Setup — $499

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