Visibility
Fragmented Visibility
Ticketing systems, Intune, Entra ID, audit logs, and endpoint data all exist in isolation.
Operational Intelligence in Practice
What Changed Before Help Desk Tickets Spiked Yesterday?
How Panorama AI turns a simple question into a structured, evidence-backed investigation across your entire Microsoft environment.
Most IT Teams Can See the Spike — But Not the Cause
Help desk ticket spikes are easy to detect.
Understanding why they happened is not.
In most Microsoft environments, answering a simple question like "What changed before tickets increased?" requires manual investigation across multiple systems.
Correlation
Manual Correlation
Teams must reconstruct timelines manually, often under pressure.
Memory
No Operational Memory
Previous incidents and resolutions are not easily reusable.
Timing
Delayed Root Cause Identification
By the time the cause is identified, impact has already spread.
The issue is not lack of data.
It is the absence of operational intelligence that connects it.
How Panorama AI Investigates a Ticket Spike
- Step 1
Understand the Question
Interprets intent and converts it into an investigation plan.
- Step 2
Validate the Spike
Analyzes ticket history to confirm anomaly against baseline.
- Step 3
Define the Impact Window
Identifies when the spike occurred and what time range to investigate.
- Step 4
Retrieve Change Events
Pulls configuration and deployment changes across systems.
- Step 5
Analyze Blast Radius
Evaluates which users, devices, and business units were affected.
- Step 6
Correlate and Rank Causes
Scores likely causes based on timing, impact, and category alignment.
- Step 7
Check Operational Memory
Looks for similar past incidents and known resolutions.
- Step 8
Generate Evidence-Based Answer
Provides clear explanation with supporting data and next actions.
From Question to Root Cause — Without Guesswork
Ticket Spike Detection
Identifies abnormal ticket patterns before investigation begins.
Change Timeline Reconstruction
Surfaces what actually changed before the spike.
Blast Radius Analysis
Understands impact across users, devices, and business units.
Correlation Intelligence
Ranks likely causes based on evidence.
Operational Memory
Learns from past incidents to strengthen current decisions.
Evidence-Based Explanation
Provides answers backed by real data, not assumptions.
Panorama AI analyzes hourly ticket volumes and compares them to historical baselines. It detects anomalies using statistical thresholds and identifies affected categories and teams.
Example
- Normal volume: 18 tickets
- Spike: 64 tickets
- Categories: VPN, login failures, device performance
This establishes a verified incident window.
Operational Impact
60-80%
Faster root cause identification
Significant reduction
in repeat incidents
Lower
escalation rates
Improved
audit defensibility
Stop Investigating Blind. Start Operating with Intelligence.
If your team is still asking what changed, why did this happen, and have we seen this before, you are operating without a unified intelligence layer. Panorama AI gives your team the ability to answer these questions instantly - with evidence.