AI: The Public Sector’s Force Multiplier with Kirk Cameron

AI is quickly becoming a force multiplier for the public sector. It allows agencies to do more with less – automating routine tasks, improving response times and reducing administrative burden across departments. Whether you’re generating reports, analyzing case data or managing citizen services, AI helps agencies move faster and serve more effectively.

At the AWS DC Summit, CentralSquare CTO Kirk Cameron sat down with theCUBE, a media platform known for in-depth interviews and real-time analysis of industry trends. He shared how AI is transforming public service. From law enforcement to city hall, AI isn’t just another tool. It’s an operational advantage.

Imagine smarter dispatching, automated reporting, predictive analytics and proactive case management. These aren’t fanciful, future goals. They’re happening now.

AI strengthens community safety by helping frontline personnel make faster, more informed decisions. It streamlines backend operations so administrators can focus on strategic priorities instead of manual busywork.

Keep reading to learn how AI is reshaping the public sector, as seen through the lens of theCUBE’s interview with CentralSquare CTO, Kirk Cameron.

Types of AI and Use Cases

Artificial intelligence is transforming how public agencies operate, helping them do more with less while improving outcomes for communities. Two types of AI are particularly impactful in the public sector: generative AI and agentic AI.

Generative AI boosts productivity by reducing manual tasks. For example, CentralSquare’s Centerline AI can transcribe body-camera footage and generate police report narratives in minutes, not hours. Officers can use customizable templates to streamline reporting, freeing them to spend more time in the field rather than behind a desk. It’s a practical way to reduce administrative tasks without sacrificing accuracy or compliance.

Agentic AI, on the other hand, is designed to analyze, reason and act. In 911 centers, it can filter out background noise, detect vocal stress and help prioritize high-risk calls in real time. It doesn’t just respond, it thinks ahead. In multi-agency incidents like major fires or disasters, agentic AI can identify which nearby agencies have the right equipment or personnel available and automatically request support.

As discussed by Cameron at the AWS DC Summit, these AI tools serve as “force multipliers,” enhancing safety, improving decisions and empowering teams across the public sector.

Overcoming Integration Challenges with AI

Public agencies often struggle to collaborate across departments and jurisdictions because their systems don’t talk to each other. Each agency may use different vendors, software platforms or data structures, making it difficult to share critical information when it matters most. Integrating those systems has historically required time-consuming and expensive custom development.

AI changes that.

As Cameron explained in his interview with theCUBE, modern AI can now “wire APIs together” and understand how data from different systems relates. It doesn’t just move data, it makes sense of it. AI can recognize that one field in System A matches another in System B, and “commingle” the data to create a more unified picture.

This means agencies can finally break down silos. Whether it’s dispatch data, permit information or emergency alerts, AI makes it easier to connect systems across vendors and jurisdictions. That leads to better coordination, faster response and fewer gaps in service.

With the help of AI, cross-agency integration no longer requires months of custom code or major IT investment. Integration is now faster and easier to achieve. And it gives agencies the real-time information they need for better decision-making and service delivery.

Trust in AI

In the public sector, especially in areas like public safety, AI must be held to a higher standard. That’s why agencies should take a “trust but verify” approach. AI is not here to replace humans. It’s here to support them.

As Cameron explained in theCUBE interview, AI can collect and analyze large volumes of data faster and more completely than a person ever could. It can flag trends, detect anomalies and reveal insights in real time. But in mission-critical environments like 911 dispatch or policing, humans still make the final call.

This approach ensures that decision-making remains in the hands of trained professionals, while AI works in the background to reduce blind spots and save time. Whether it’s analyzing vocal stress in a 911 call or identifying mutual aid resources nearby, AI provides the context and the speed. The dispatcher or officer is then equipped to act on all the relevant data.

In this way, AI becomes an augmentative force, not an autonomous one. “Trust but verify” allows public agencies to embrace innovation while maintaining accountability, safety and control.

Empowerment with AI

AI empowers public agencies by giving their staff more time to focus on what matters most: serving the community. According to CentralSquare’s CTO, the goal isn’t to reduce headcount or replace people. It’s to amplify their impact. AI becomes a “force multiplier,” handling repetitive, time-consuming tasks so personnel can spend more time on their core responsibilities.

Tools like Centerline AI allow officers to spend more time protecting neighborhoods and less time at a keyboard. Dispatchers can prioritize critical 911 calls faster thanks to AI that detects stress or filters out background noise in real time.

Ultimately, AI improves productivity without taking control away from trained professionals. It empowers dispatchers, law enforcement and administrators to work more efficiently. As Cameron put it, “It’s about empowering them to serve their communities.” That’s the heart of public service. And that’s where AI delivers real value.

Schedule a discovery call today to learn how CentralSquare’s AI-based solutions can help your agency optimize operations, save time and better serve citizens.