Digital technology is transforming every field, but nowhere is the need more urgent than in public safety and emergency response — where seconds and information quality directly determine whether someone lives or dies. Prepared is using rapidly advancing AI to open new possibilities for 911 call centers.
Prepared goes beyond being a modern system upgrade. It's a comprehensive AI agent platform that supports rapid, accurate call handling during emergencies — while also reducing the burden of non-emergency workload. Non-emergency inquiries like noise complaints and parking violations can be handled automatically, freeing operators to focus entirely on life-threatening calls. Real-time translation across language barriers, automatic integration with CAD (Computer-Aided Dispatch) systems, and other capabilities that would have been unimaginable in legacy systems are defining a new standard for public safety operations.
How does a next-generation 911 system solve real operational challenges and enable faster response at crime scenes and disaster sites? Behind the answer lies a founder's personal experience and deep conviction.
This article traces the complete story: from Prepared's founding, through its product development process, to real-world operational results — covering the full picture of AI innovation in public safety today and where it's headed.
Chapter 1: Reforming the 911 Call Center — What Prepared Has Built
From Personal Experience to a Company
The origins of Prepared carry both an element of chance and of inevitability. In 2012, when the founder was 13, a mass shooting occurred in a nearby town. Witnessing the shock and its aftermath firsthand exposed him to the vulnerabilities in public safety systems — and became the experience that set his course. He committed to using modern communications technology to enable faster, more reliable emergency response.
The 911 call center system was designed in the 1960s, built around landline phones. It was never designed for the rapid expansion of mobile devices and text communication. The result: delays and information gaps during emergencies. Prepared built an entirely new system to address these limitations — starting with real-time call transcription and transfer processing that converts voice information into text instantly. Operators can capture critical information rapidly and dramatically reduce errors caused by mishearing or incomplete records.
The system also includes translation functionality, providing immediate accurate translation in any language for calls placed in languages other than English. Real-time translated text appears on the operator's screen the moment a non-English call connects, minimizing confusion. CAD system integration automatically forwards call information to the relevant department instantly — accelerating response times and eliminating the manual information handoff that previously relied on human effort.
The Growth Story
The product development strategy deployed free trial periods and tested the system in actual 911 centers and 311 systems (for non-emergency services). Early adoption was only a few hundred sites — but it grew rapidly, and today the system is used by over 1,000 centers across the United States.
For non-emergency calls — noise complaints, parking violations — long hold times had been a persistent problem. Prepared's automated response capability brought those wait times to virtually zero. Operators can now concentrate on truly urgent calls: cardiac arrests, serious accidents.
The impact has been validated by operators themselves. In one major city's 911 center, only 2-3% of calls could be quality-monitored under the old system. After Prepared was deployed, 100% of calls were recorded and reviewable — enabling comprehensive quality management, trend analysis, and rapid feedback to operators, directly improving response quality.
Prepared has also focused from the beginning on user-centric design, providing thorough explanation and support to 911 center staff on both the technology's innovations and its operational usability. The result: smooth transitions with minimal disruption, and early success stories that built trust and confidence for further innovation.
One capability that particularly distinguishes Prepared: the system acts as a "co-pilot" for operators in crisis situations, catching subtle nuances and important information embedded in fragmented statements that a human might miss. In one example, when a caller used indirect phrasing, the system accurately identified that someone on the scene had autism — and immediately notified the relevant department. That kind of nuanced detection was simply not possible with manual processes, and it directly improves outcomes.
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Chapter 2: AI Solutions Transforming Government and Public Safety Services
From Non-Emergency to Dispatch — Comprehensive Coverage
Prepared's work extends well beyond transcription and translation. It encompasses 311 operations and the efficiency of daily non-emergency work. In major cities, 311 average wait times of 40+ minutes were not uncommon — a direct degradation of public service quality. Prepared deploys voice AI agents to handle non-emergency calls automatically, dramatically cutting wait times and enabling citizens to receive immediate responses through dedicated lines.
Language barriers represent another challenge Prepared addresses directly. 911 calls come from a highly diverse population, and the need to communicate in languages other than English is common. Manual translation for Vietnamese calls, for example, could mean up to 7 minutes of wait time. Prepared's system translates those calls instantly, displaying results to operators in real time — eliminating that inefficiency at the root.
The practical value of these innovations has been validated by real deployments. One 911 center reported that within weeks of implementation, critical information being missed during calls dropped to essentially zero. The key wasn't technology alone — it was that the organization adapted to the new system and operators learned to work in partnership with AI judgment, rather than being replaced by it. Prepared deliberately designs for this: not to fully replace existing workflows, but to function as a "support tool" that enhances operator capability. That balance is what makes it work.
This approach means Prepared attacks the root of the problems that operators and managers face daily. Freed from manual information review and record-keeping, more time and resources go directly to rescue operations and incident response. The recorded and analyzed data also drives secondary improvements — identifying trends from past cases and contributing to ongoing quality enhancement. For government agencies and local authorities, this represents a fundamental digital shift away from analog legacy systems.
Chapter 3: When Technology and Human Capability Merge — Prepared's Culture and Social Mission
Building a Team That Understands the Field
Behind Prepared's success is an organizational culture as important as the technology. The team combines Silicon Valley technologists with professionals who have actual 911 and 311 field experience. In the first 90 days of employment, every new hire visits an actual 911 center to experience the challenges and pressures that operators face every day. This practice creates a culture where technical staff learn real-world needs firsthand and reflect that knowledge in product improvements.
The result is a product that is genuinely practical — not theoretical. It actually saves lives and improves operational efficiency because it was designed by people who understand what the work actually feels like. The founder's conviction is consistent: "Our mission isn't to provide technology. It's to build products that genuinely help people in emergency situations."
On data security and privacy, Prepared maintains strict standards: all data is stored within the United States, and the system complies with CJIS (Criminal Justice Information Services Security Policy), SOC2, and other applicable standards. The highly sensitive information handled in emergency operations is managed with appropriate care, protecting public trust.
The Scale and the Vision
Prepared's scale is remarkable: approximately 6% of the roughly 6,000 911 centers and 72,000 related agencies in the United States have already adopted the system. Over 20 million calls were processed in a single recent year, with impact proven in major cities nationwide. The organization now employs over 150 people, and a recent Series funding round secured approximately $130 million — reflecting significant investor confidence in the technology's potential.
The vision is equally ambitious: a future where all public safety services operate 24/7 with advanced AI support, where every call — emergency or not — is processed instantly with accurate judgment and coordination, where the eight different screens that operators currently manage are consolidated into a single intelligent system with full situational awareness. Technology and human expertise, fully integrated.
Summary
Prepared's work delivers fundamental solutions to the technical and operational challenges of legacy 911 and 311 systems — powered by AI. Built on a founder's direct personal experience, and developed in close partnership with the people who do this work, Prepared has significantly improved both efficiency and accuracy in emergency response.
Voice recognition, real-time translation, CAD integration, automated non-emergency response — each capability in the integrated system reduces operator burden and directly improves public service quality. Rigorous data security practices and a culture of field immersion create a trustworthy, high-reliability operation.
Going forward, these technologies will continue to integrate, evolving toward a coordinated, responsive government-wide public safety infrastructure. Prepared's success demonstrates not just technological innovation, but a concrete vision of a future where humans and technology elevate each other — and where the public benefit in safety and security is immeasurable.
Reference: https://www.youtube.com/watch?v=jmBeqGrWODs
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