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Separate real ServiceNow faults from alert noise
For operations teams who want unacknowledged ServiceNow alerts grouped and classed against changes and maintenance, by asking their AI assistant.
On this page
Connector
Connect ServiceNow, pick your AI tool and paste the prompt.
The problem
Real faults buried under alert noise
A morning of unacknowledged alerts means opening each one, working out its configuration item and checking whether a change explains it. Real production faults get buried under repeated warnings and expected noise from planned work.
Without PopdockAI
- Open each alert one by one
- Work out which CI it belongs to
- Check for a change window that explains it
- Miss the real fault in the noise
With PopdockAI
- Open, unacknowledged alerts are grouped by CI or node
- Each CI's environment and support group are checked
- Covering change windows and maintenance are noted
- Read only, with alerts that should become incidents listed
The prompt
Use this prompt
Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.
**Objective:** Triage the unacknowledged open alerts raised in the last `{lookback-days}` days (default 1), optionally only severity `{severity}`.
**Step 1: Pull the alerts**
Call `servicenow-get-alert` with acknowledged false, state Open, created.from today minus `{lookback-days}` days, severity `{severity}` if given, and max-records 500.
**Step 2: Group**
Group by configuration-item, or by node when configuration-item is empty. Per group note the count, highest severity, sources, metric names, first and last event time, and whether any alert already has a task.
**Step 3: Context per group**
* Call `servicenow-get-configuration-item` with name set to the CI to get environment and support-group.
* Call `servicenow-get-ci-affected` with configuration-item set to the CI; if a CHG task is found, read it with `servicenow-get-change-request` and note any change whose window covers the alerts (expected noise during a change).
* Check the maintenance field: alerts in maintenance are expected.
**Step 4: Classify each group**
* Real fault: Critical or Major, Production, not in maintenance, no covering change.
* Change-related: a change window covers it.
* Noise: Warning or Minor only, many repeats of one metric, or in maintenance.
* Already handled: every alert has a task.
**Step 5: Report**
A table ranked Real fault first: CI or node, environment, support-group, alert count, highest severity, metric names, first seen, classification, existing task. End with the alert numbers that should become incidents; the raise-incident-from-alert prompt does that one alert at a time.
**Rules & Guidelines:**
* Read-only. Do not call `servicenow-update-alert`, `servicenow-add-incident`, `servicenow-add-alert` or any other add- or update- tool.
**Validation:**
* If there are no unacknowledged alerts, say so. If the pull hit 500, say it was capped.Who it's for
One answer, three teams that use it
Operations engineers
Start the shift with real faults
Separate production faults from change noise and repeated warnings.
Triage the unacknowledged ServiceNow alerts from overnight.
Site reliability engineers
Explain alerts with change context
See which alert groups line up with a change window.
Which critical alerts in the last 6 hours are not explained by a change?
Service desk leads
Raise the right incidents
Get a list of alerts that should become incidents.
From the last 24 hours of alerts, which ones should become incidents?
How it works
What PopdockAI does when you ask
You give a lookback period, and your AI assistant groups and classes the open alerts. It only reads, so no alert is acknowledged.
01
Ask
You name a lookback period, and optionally a severity.
02
Group
It reads open, unacknowledged alerts and groups them by CI or node.
03
Check
It looks at each CI's environment and any change window covering the alerts.
04
Report
You get each group classed and the alerts that should become incidents.
What PopdockAI provides
The tools behind the answer
Ready made tools for ServiceNow and one secure connection to your AI tool. No code, no exports.
servicenow-get-alert
servicenow-get-configuration-item
servicenow-get-ci-affected
servicenow-get-change-request
This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.
The outcome
Work the real faults first
Related use cases
More ways to put this data to work
Decommission a ServiceNow configuration item
Ask your AI to decommission a ServiceNow CI and it checks alerts, changes, dependent services and articles, then retires the CI and its asset after you confirm.
Learn More
Plan a ServiceNow change request
Ask your AI to plan a ServiceNow change and it checks the CI for clashing changes, proposes risk and tasks, and creates the change, CI link and tasks after you confirm.
Learn More
Assess ServiceNow change risk
Ask your AI to assess a ServiceNow change and it weighs affected CIs, open alerts, clashing changes, testing and approvals into an assessed risk, without changing anything.
Learn More
Investigate a ServiceNow incident
Ask your AI to investigate a ServiceNow incident and it checks exposure and looks for a cause in changes, alerts, known errors and similar tickets, ranking leads by confidence.
Learn More
Raise a ServiceNow incident from an alert
Ask your AI to raise an incident from an alert and it checks for an existing incident, maps severity to impact and urgency, and creates and links the incident after you confirm.
Learn More
One prompt template with infinite possibilities.
Your AI assistant adapts its approach, tone, and capabilities to match each unique context while you maintain a single, manageable workflow.
Join forward-thinking companies that are transforming their operations with intelligent, secure AI automation.