Today, the alarm industry is moving rapidly toward automation. Artificial intelligence (AI) and sensor-based alerts are becoming central to monitoring operations. This evolution holds great promise for efficiency and speed, but it also introduces new risks when automation is deployed without safeguards. 

The Problem With Unfiltered Automation 

As connected devices become more prevalent, many systems are transmitting unverified alarms or sensor data directly to 911. Examples include phone-based crash detection and fall detection apps that automatically generate emergency calls without any human confirmation. The intent is good, but the impact can be overwhelming for emergency communication centers (ECCs) that already face staffing shortages and increasing call volumes. 

Unfiltered data transfers the burden of validation to 911 telecommunicators, who must determine whether a signal represents a real emergency or a false activation. In one county, more than 200 crash detection notifications were received in less than a year, and only 10 responses were verified as actual emergencies. That 95% false alarm rate drains resources, delays response to more urgent calls and increases the risk of alarm fatigue and responder complacency. 

Automation With Intelligence 

Automation itself is not the problem. The issue lies in how it is implemented. The future of monitoring depends on automation with intelligence, where technology efficiency is combined with human oversight. 

Many advanced automatic crash notification services already include a trained operator in the loop. Before alerting 911, they verify whether crash data truly indicates a collision and whether anyone on scene confirms the need for assistance. This step reduced the number of false dispatches and ensures that genuine emergencies receive immediate attention. 

Within the security monitoring industry, The Monitoring Association’s Alarm Validation Scoring Standard (AVS-01) applies the same concept. By assigning standardized alarm levels based on available evidence such as video, audio or sensor data, AVS-01 helps determine which incidents are most likely to require an immediate response. When paired with the automated secure alarm protocol to securely transmit verified alarm data directly to 911 centers, the result is faster and more reliable emergency handling. 

Maintaining the Human Connection 

Human oversight is essential because technology cannot replicate human judgment. A trained monitoring professional can interpret context, recognize anomalies and make informed decisions that algorithms cannot yet achieve. By combining automation and human intelligence, monitoring centers can gain both accuracy and efficiency while maintaining trust with public safety partners. 

A Call to Action 

As automation continues to evolve, the alarm industry must ensure that it supports rather than replaces human judgment. Monitoring professionals should see themselves as partners in the emergency response chain. Verified and intelligently managed data ensures that when a call reaches 911, it truly represents an emergency. 

Keeping a human in the loop, supported by intelligent automation, is how the industry achieves both innovation and responsibility. This balance is at the heart of Partnership for Priority Verified Alarm Response’s mission and the foundation of the next generation of alarm monitoring.