Why PSAP Supervisors Can’t Afford to QA Only 2% of Calls Anymore

Every supervisor has experienced it. A difficult call that surfaces weeks after the fact. Maybe it involved a suicidal caller. Maybe there was confusion during dispatch. Maybe a telecommunicator handled the situation exceptionally well and no one realized it at the time.

Either way, the same question follows: “How did we miss this?”

The answer is usually not negligence. It’s volume.

Modern communications centers generate an overwhelming amount of operational data every single day. Thousands of calls. Continuous radio traffic. CAD activity. Incident records. Screen recordings. Shift changes. Escalations. Emergencies layered on top of emergencies.

Yet, despite the scale and complexity of today’s PSAP environment, many Quality Assurance (QA) processes still rely on workflows built for a very different era. Supervisors manually select a small sample of calls for review. Evaluations are completed one interaction at a time. Coaching opportunities are often identified reactively instead of proactively. And while everyone understands the limitations of this approach, most centers simply do not have the staffing or time required to do more.

The problem is not just that only a fraction of calls are reviewed. It is that hidden patterns remain hidden.

The repeat caller whose escalating distress went unnoticed. The dispatcher quietly struggling under mounting stress. The recurring compliance issue appearing across multiple shifts. The training opportunity buried inside hundreds of routine interactions.

When only a tiny percentage of calls are visible, leadership is forced to operate with an incomplete picture of what is happening across the center.

This is where AI can fundamentally change operational visibility. Instead of relying solely on random sampling, AI-powered systems can automatically transcribe and analyze 100 percent of calls and radio communications. Interactions can be categorized based on operational priorities, surfaced for review, and connected to broader performance trends across the center.

Suddenly, supervisors are no longer searching blindly for issues. They are seeing patterns emerge in real time.

Importantly, AI doesn’t replace human judgment inside the QA process. Accountability matters too much for that. Supervisors still review findings, validate recommendations, and remain responsible for final decisions.

But what does change dramatically is the scope and scale of the impact. Instead of spending hours trying to locate the right calls to review, leaders can focus their energy where it has the greatest results: coaching, support, consistency, and operational improvement.

This matters because at the end of the day, Quality Assurance shouldn’t just be about ‘checking a box.’ At its best, it should be about understanding what is happening inside the communications center, and correcting small problems before they become bigger ones.

In an environment where staffing shortages continue to intensify, visibility is no longer optional. It is operational survival.

Download the Inform AI guide to learn how AI is helping PSAPs reduce administrative burden, improve operational visibility, and support workforce wellness across the communications center.

And, don’t forget to explore the next blog in this series – Burnout Is Invisible Until It Isn’t: How AI Supports Telecommunicator Wellness…