False Alarm Investigation & Resolution

Q: Does the automation require camera footage to work?

Camera footage significantly improves classification accuracy, but the automation also analyzes sensor patterns and historical data to classify alarms even when live video is unavailable.

Q: How does the automation contact site managers if the system cannot reach them?

The automation attempts contact via phone and text; if the site manager does not respond within a set time window, the alert is escalated to a monitoring operator for manual follow-up.

Q: Will existing alarm data be affected or need to be re-entered?

No; the automation reads from your existing security system and logs new outcomes to your current database or spreadsheet without modifying historical records.

Q: Can the automation integrate with our emergency dispatch system?

Yes; genuine threats can be routed directly to your emergency services provider or internal dispatch system via API, eliminating the need for manual phone calls.

Investigating repeat false alarms and fixing the underlying cause.

384 hrs

Manual time identified

Companies have mapped

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About This Automation

False alarm investigation consumes significant monitoring staff time as operators manually review camera footage, contact site managers, and classify each alert. Manual classification delays response to genuine threats and creates repetitive administrative work.

Automation analyzes incoming alerts by reviewing available camera footage and sensor data to classify genuine threats, false alarms, and inconclusive cases. High-confidence genuine threats route immediately to emergency services while false alarms are resolved and documented automatically.

Key features:

Analyze camera footage and sensor data automatically to classify alarm authenticity

Route genuine threats to emergency services and site teams in seconds

Document false alarm reasons and close tickets without manual entry

Send outcome notifications to stakeholders via email and messaging

Flag inconclusive alerts for human review with full context provided

Track alarm trends and metrics in real time for reporting

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Manual camera review delay Operators spend 8 minutes per alert reviewing footage, slowing response to genuine threats.	80%
2	Site contact availability Reaching site managers or tenants for confirmation adds 6 minutes per alert and often requires multiple attempts.	67%
3	Repetitive data entry Manual logging of alarm details into spreadsheets creates duplicate work and introduces transcription errors.	53%
4	Inconclusive alert handling Ambiguous alerts require extended investigation and multiple follow-ups, consuming disproportionate time.	40%
5	Notification delays Manual message composition and sending to multiple stakeholders adds 3 minutes per resolved alarm.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

9.0/ 10

AI Fit Rating™

8.6/ 10

Automation Lift Index™

8.4/ 10

Hidden Overhead™

7.1/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. Alarm Alert Receivedtrigger

Security system sends an alarm notification with site, sensor type, and timestamp.

2. Extract Alert Context

Automation pulls camera footage, sensor history, and site metadata from the security system API in real time.

3. AI Analyzes Alert Pattern

The automation reviews the camera feed and sensor data to classify the alert as high-confidence false, inconclusive, or genuine threat.

4. Genuine Threat?

If the AI confidence is high and the alert appears genuine, route to escalation. Otherwise, proceed to false alarm handling.

5. Escalate to Emergency Services

For genuine threats, automation sends an alert to emergency services and the site security team and.

6. Contact Site Manager

For inconclusive alerts, automation sends an SMS to the site manager to confirm status and gather human input.

7. Review Inconclusive Alert

A monitoring operator reviews the AI assessment and site manager response, then makes a final classification decision.

8. Log Outcome and Notify

Automation records the alarm classification, response action, and outcome and sends a summary notification to stakeholders.

Most popular tool stack used

— the complete tool combinations companies use

52% of companies

28% of companies

15% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

216 hrsIdentified

4Mapped

View

Frequently asked questions

Everything you need to know before mapping this process.

What happens to alarms that the automation cannot confidently classify?

Inconclusive alerts are flagged and routed to a monitoring operator with full context including camera footage and sensor data, so the operator can make a quick decision rather than starting from scratch.

Does the automation require camera footage to work?

How does the automation contact site managers if the system cannot reach them?

Will existing alarm data be affected or need to be re-entered?

Can the automation integrate with our emergency dispatch system?

View more FAQs

Process pain:9.0/10

Mapped by:6 Companies

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Page updated 10 August 2026