Anoka County Leverages AI for Non‑Emergency Call Screening

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Key Takeaways

  • Anoka County 911 call‑takers handle up to 150 calls per 12‑hour shift, but roughly two‑thirds are non‑emergencies that consume valuable time.
  • A $60,000 AI screening system is being piloted to filter out routine calls such as noise complaints, barking dogs, and fireworks reports.
  • The AI does not answer genuine 911 emergencies; it routes those calls to a human telecommunicator and provides a transcript so the responder is instantly briefed.
  • County officials aim to answer every true emergency call in under 10 seconds by freeing call‑takers from non‑urgent lines.
  • Testing is underway, with plans to launch the system fully by mid‑May, a move staff say will also reduce mental fatigue from constant high‑priority calls.

Current Call Volume Strain on 911 Operators
Samantha Gust, a veteran call‑taker for Anoka County Emergency Communications, describes the relentless pace of her work: “Because time is of the essence?” she was asked, and she replied, “Yes.” Gust notes that during a typical 12‑hour shift she can field as many as 150 calls, yet “two‑thirds of those calls are non‑emergencies that tie up her phone line.” Those routine inquiries range from barking dogs and noise complaints to fireworks reports in the summer, which she says “probably number in the hundreds.” The sheer volume of low‑priority calls leaves little breathing room for the urgent, life‑threatening incidents that truly require a dispatcher’s full attention.


Rationale Behind Deploying an AI Screening Tool
Kari Morrissey, director of Anoka County Emergency Communications, explains the county’s motivation for experimenting with artificial intelligence: “Have AI screen those non‑emergency calls, so we can answer those 911 calls quicker.” By diverting routine inquiries to an automated line, the agency hopes to “dedicate more free time to those people without putting someone on hold to screen.” Morrissey emphasizes that the goal is not to replace human judgment but to create a buffer that lets telecommunicators focus on crises where seconds matter. The $60,000 investment reflects a broader trend among public‑safety agencies seeking tech‑driven efficiencies amid tightening budgets and rising call volumes.


How the AI System Functions in Practice
To gauge the caller experience, KSTP placed a test call to the program’s public demo line. The system greeted the caller with, “Police and fire, this is your AI system, Erik. How may I help you?” After the tester explained that the call was a trial and mentioned a possible heart attack, the AI processed the request and responded, “After a few brief clicks, the program said it was transferring us to ‘an agent’ — a human 911 call‑taker.” Although the test call was dropped because the system remains in a pilot phase, Morrissey clarified that once fully operational, an actual telecommunicator will pick up the line and receive a transcript of the AI‑captured conversation, ensuring they are immediately aware of the caller’s concern.


Safeguards for Genuine Emergencies
Morrissey was quick to stress that the AI will never be the first point of contact for a legitimate 911 emergency. “The AI program won’t be used for 911 calls,” she stated, “but if an emergency call is made on the AI line, the program will also send a transcript of the conversation, so a human call‑taker can be up to speed on what was said.” This design ensures that even if a distressed caller inadvertently dials the non‑emergency line, the critical information is not lost; instead, it is forwarded alongside a summary that lets the responding telecommunicator jump straight into action. The county’s target is to answer every true emergency call in under ten seconds—a benchmark that becomes far more attainable when operators are not bogged down by routine queries.


Testing Timeline and Anticipated Go‑Live Date
The AI screening tool remains in a testing phase, with county officials continuously evaluating its accuracy, reliability, and impact on call‑flow metrics. Morrissey said the agency plans to keep refining the system “with a plan to make the system active by mid‑May.” The target launch date aligns with the onset of summer, a period historically marked by spikes in fireworks‑related complaints and other seasonal non‑emergencies. By having the AI fully operational before that surge, Anoka County hopes to pre‑emptively alleviate the strain that typically overwhelms its dispatch centers during warmer months.


Staff Perspective: Mental Relief and Operational Focus
For front‑line workers like Samantha Gust, the potential benefits extend beyond raw efficiency. “It’s something that a lot of us are excited about, so we have a little bit more focus on our emergency calls,” Gust remarked. She added that reducing the constant churn of low‑priority calls could also improve mental well‑being: “It’s good for us mentally as well, to be able to recover from some of those high‑priority calls we’re taking and focus on those to make sure we have the correct information in there.” By offloading repetitive tasks to an AI, telecommunicators may experience less cognitive fatigue, leading to sharper decision‑making when lives are on the line.


Broader Implications for Public‑Safety Agencies
Anoka County’s experiment highlights a growing trend: leveraging artificial intelligence to triage incoming public‑safety communications. While AI cannot replace the empathy and nuanced judgment of a human dispatcher, it can serve as a first‑line filter that preserves human resources for the most critical situations. Other jurisdictions watching the Anoka County pilot may consider similar investments, especially as call volumes continue to rise and expectations for rapid response tighten. The success—or shortcomings—of this $60,000 initiative will likely inform policy decisions, funding allocations, and best‑practice guidelines for AI‑assisted emergency communications nationwide.


Sources: Direct quotes from Samantha Gust, Kari Morrissey, and the KSTP test call as reported in the original 5 EYEWITNESS NEWS segment.

https://kstp.com/tracking-your-tax-dollars/anoka-county-using-artificial-intelligence-to-screen-non-emergency-calls/

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