The Incident Dashboard provides a centralized, real-time view of AI-related incidents across your organization. It brings together status, severity, response performance, and trends into a single, easy-to-read interface — helping teams prioritize action, monitor service levels, and identify patterns.
This dashboard is designed to support faster decision-making, improved oversight, and stronger operational resilience.
Purpose
The Incident Dashboard helps you:
Monitor open incidents across their full lifecycle (from detected to closed)
Understand the severity and urgency of current issues
Track how quickly incidents are acknowledged, contained, and resolved
Identify trends and recurring patterns
Focus attention on the most urgent items
By consolidating incident data into one view, the dashboard ensures transparency and accountability across your AI governance and risk processes.
How It Works
Feature 1 – Status & Severity Overview
Quick-view status cards display the number of open incidents at each stage of the lifecycle — from detected through to closed.
A severity summary provides a breakdown of incidents by impact level:
Critical
High
Medium
Low
This allows you to immediately assess overall risk exposure and operational pressure.
Feature 2 – SLA / SLO Posture
The dashboard tracks key service performance metrics:
Time to Acknowledge (TTA)
Time to Contain (TTC)
Time to Resolve (TTR)
These metrics measure how quickly incidents are addressed and resolved. Organizations can configure their own thresholds, with default benchmarks set at:
4 hours (Acknowledge)
24 hours (Contain)
72 hours (Resolve)
Visual indicators clearly show whether performance is on track or has breached targets, helping teams maintain response discipline and accountability.
Feature 3 – Trends & Analytics
Interactive charts provide deeper insights into incident activity:
Trend Chart – Displays incident volume over time to identify spikes or recurring issues.
Category Chart – Breaks down incidents by type (e.g., data breach, hallucination, bias) to highlight common risk areas.
Assignee Chart – Shows workload distribution across team members for active incidents, helping balance responsibilities and prevent bottlenecks.
Together, these views support proactive risk management and resource planning.
Feature 4 – Heatmap
The Severity × Type matrix highlights patterns by mapping incident impact against incident type.
This visual heatmap helps you:
Identify clusters of high-severity issues
Detect systemic weaknesses
Prioritize risk mitigation efforts
Feature 5 – Urgent Queue
The “What’s Urgent Now” section filters and displays:
Critical and high-severity incidents
Unresolved items
Sorted oldest first
This ensures that the most serious and time-sensitive incidents receive immediate attention.
Feature 6 – Control
A date range filter (default: last 12 months) allows you to adjust the reporting period. All dashboard views update automatically based on the selected timeframe, ensuring consistent and focused analysis.
Notes
The dashboard reflects incidents recorded in your Incident Register.
SLA performance depends on accurate and timely incident updates.
Use the Urgent Queue daily to maintain strong response posture.
Regular review of trends and the heatmap can help prevent repeat incidents and strengthen governance controls.
The Incident Dashboard provides clear visibility into operational risk — enabling faster action, stronger accountability, and continuous improvement in AI incident management.