In today's conditions, when 911 centers are facing a constantly increasing volume of calls, the implementation of automation technologies is becoming critically important. In the United States, where emergency response centers, known as PSAP (Public Safety Answering Points), handle over 240 million calls annually, police chiefs are increasingly turning to artificial intelligence (AI) to ease the burden.
Call automation helps reduce wait times and improve service, as traditional call models are unable to keep up with rising demand. According to the National Emergency Number Association (NENA), more than 60% of calls may be non-critical, highlighting the need for modern solutions to address this issue. "Technology doesn't replace people; it frees up time for more important calls," notes one expert in the field.
How Automation Works
AI automation is capable of processing routine and low-priority calls:
- Triage and data collection: AI can respond to non-critical calls, gather important information, and relay it to a human dispatcher.
- Prioritization: filtering routine calls helps focus attention on urgent cases.
- Information relay: AI can provide automated updates for calls as per requests.
Results of Implementation
Agencies that are already using AI automation are witnessing significant positive changes, such as:
- Saving over 3 hours of dispatcher time per day;
- No wait times on automated lines;
- 74% of emergency calls are fully processed without human intervention.
These results indicate that call automation not only enhances efficiency but also improves service quality, reduces stress among employees, and ensures better responses to critical incidents. In a new era of emergency management, AI is becoming an essential tool that can significantly improve the operations of 911 centers for the better.
