Autonomous Support Triage & Action Hub

Jev calibrated classification • CRM 360 • Sentiment & Churn analysis • Voice Note Ingestion • Automated Tool Calling

Customer Ticket Intake

Scenarios:
📊

No ticket analyzed yet

Click "Analyze with Jev" to see calibrated model classifications, CRM 360 profile, sentiment analysis, and tool actions.

Ticket Inbox & Thread History

SQLite persistent records with multi-turn conversation logs and tool audit trails.

ID Customer Language Sentiment Department Urgency SLA Status Actions
Loading ticket queue...

Engineering Incident Spikes & Jira Auto-Generator

Automated pattern clustering detecting active production regressions across customer tickets.

Loading active incident clusters...

Batch Ticket Triage

Process customer support CSV datasets concurrently with sentiment, language, and calibrated triage.

Upload Support CSV

CSV should contain a ticket column, and optionally customer_name and customer_tier.

📄

Drag & drop support CSV here, or browse file

Batch Processing Summary

Processed batch results will appear here in real time.

Support SLA & Calibrated Metrics Dashboard

Real-time analytics aggregated directly from triaged tickets, sentiment tracking, and routing rules.

Total Tickets

0

Processed through Jev
Human Escalation Rate

0%

Gated by risk & churn
Avg Urgency Score

0.0

0.0 (low) to 3.0 (critical)
Avg Model Confidence

0%

Calibrated certainty

Department Distribution

Urgency Rubric Breakdown

Customer Tier Volume

💰 Executive Business ROI & Efficiency Calculator

Autonomous Deflection0%
Agent Hours Saved0 hrs
Net Cost Savings$0

*Based on industry benchmark $25/hr human agent cost vs $0.0025 AI compute cost per ticket.

🎯 Model Calibration & Accuracy Matrix

Triage Accuracy--%
Urgency Error (MAE)--
Grounding Safety--%

Click 'Run Live Eval' to benchmark the decision engine against golden test datasets.