Key Performance Indicators
Total Incidents
-
Incidents Analyzed
-
SLA Compliance
-
SLA Breach Rate
-
-
Repeat Ticket Rate
-
-
Avg MTTR (Hours)
-
Target: 4h
P1 Incidents
-
Critical Priority
Monthly Savings
-
Daily Incident Trend
Incident Classification
SLA Breach Rate by Product
Region × Product Heatmap
Pipeline Status
| Stage | Status | Mode | Processed (30d) | Throughput | Avg Latency | Last Activity |
|---|---|---|---|---|---|---|
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Pipeline Throughput
Total Ingested
-
Classified
-
Routed
-
Auto-Resolved
-
Cost Analysis
Parameters
Projected Annual Savings
₹0L
Breakdown by Category
| Category | Hours Saved / Month | Cost Savings / Month |
|---|---|---|
| Triage Automation | 0h | ₹0K |
| False Positive Elimination | 0h | ₹0K |
| Repeat Ticket Prevention | 0h | ₹0K |
Classification Engine
Model Performance
91%
Classification Accuracy
True Incident
95.8%
Power Outage
100%
False Positive
72.2%
Customer Error
83.3%
Test Classification Engine
Repeat Ticket Analysis
Total Repeat Incidents
-
Affected Customers
-
Avg SLA Breach Rate
-
Est. Cost Impact
-
Top 20 Problem Circuits
| Circuit ID | Customer | Product | Repeat Count | Common Issue | SLA Breach % |
|---|---|---|---|---|---|
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Action Queue
Tickets prioritized by risk score requiring attention
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Human-in-the-Loop Governance
Approval Queue
P1/P2 tickets requiring human approval before action
| Ticket ID | Priority | Product | Region | Status | Assigned Group | Actions |
|---|---|---|---|---|---|---|
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Recent Decisions
| Ticket ID | Decision | Reason | Decided By | Decided At |
|---|---|---|---|---|
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Shadow Mode — AI Accuracy Tracker
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Shadow Classification Accuracy
0 classified
0 correct
Recent Shadow Classifications
| Ticket ID | AI Predicted | Actual | Confidence | Correct | Classified At |
|---|---|---|---|---|---|
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