AI Strategy for Public Safety: A Practical Roadmap for State and Local Agencies

For many state and local public safety leaders, AI conversations often begin with the most basic generative AI (GenAI) tools. But, while GenAI is more ubiquitous, it represents only a fraction of AI's potential. The agencies seeing the greatest value are developing an AI strategy focused on solving operational challenges rather than simply adopting new and trending technology.

From report-writing software and video analytics to digital evidence management systems, AI is increasingly embedded within the tools public safety agencies already rely on. The challenge is no longer deciding whether to adopt AI; you likely already have it. It's determining how to leverage, govern, prioritize and expand its use responsibly.

The most effective AI strategies begin by asking a simple question: Where is valuable staff time being lost?

Public safety agencies continue to face staffing shortages, increasing workloads and growing volumes of digital evidence.

Rather than replacing personnel, AI can automate repetitive administrative work so officers, investigators and analysts can focus on higher-value responsibilities such as:

• Analyzing crime trends and identifying incident patterns
• Summarizing reports and administrative records
• Searching large volumes of digital evidence
• Tracking personnel metrics and operational performance
• Automating repetitive reporting and data collection

The objective is not to integrate AI for the sake of keeping up with technology. Instead, your agency should identify routine tasks that consume hours every week and evaluate where AI can safely reduce manual effort. Even returning several hours per employee each week will allow your agency to redirect resources toward impactful activities, such as investigations, community engagement and emergency response.

One of the biggest misconceptions among public safety organizations is that AI requires a major technology investment. In reality, many agencies already use AI without realizing it.

AI-powered features are increasingly built into records management systems, report-writing applications, video analytics platforms, collaboration tools and network management software. Rather than asking whether an agency uses AI, your leadership should look to understand where AI already exists, what decisions it influences and how your employees are using it.

Creating this inventory provides the foundation for governance and future planning.

Public safety agencies operate under strict legal, regulatory and evidentiary requirements. An AI strategy must account for these obligations before introducing new capabilities.

Each jurisdiction may have different policies governing sensitive material, such as criminal justice information, evidence retention, privacy requirements and acceptable AI usage. What works for one department may not meet another agency's compliance standards.

A strong governance framework should address:

• Approved AI tools and platforms
• Acceptable uses for officers and civilian staff
• Data privacy and CJIS compliance
• Human review of AI-generated outputs
• Documentation and audit requirements
• Ongoing cybersecurity protections

Without clear guardrails, agencies risk inconsistent use of AI, potential compliance issues and unnecessary exposure of sensitive information.

Agencies also need a formal AI strategy to keep pace with the rapid growth of digital information.

Body-worn cameras, in-car video, surveillance systems, drones, mobile devices and digital evidence create enormous amounts of structured and unstructured data. Investigators increasingly spend more time locating information than analyzing it.

AI can dramatically improve these workflows by helping agencies:

• Search thousands of reports within seconds
• Identify relevant images or video clips
• Locate names, conversations or keywords across large data sets
• Detect patterns that would otherwise require hours of manual review

As digital evidence continues to grow, agencies that strategically deploy AI will be better positioned to manage increasing workloads without proportionally increasing staffing.

Every AI strategy should include cybersecurity from the beginning.

As AI capabilities expand, so do the risks associated with protecting sensitive public safety data. Leaders must consider not only how AI can improve operations, but also how to deploy it securely and responsibly.

Cybersecurity considerations should include:

• Securing AI-enabled applications
• Protecting criminal justice information
• Monitoring access to sensitive data
• Preventing unauthorized use of public AI tools
• Establishing secure policies for AI-generated content

Treating cybersecurity as a core element of AI planning, and not as an afterthought, will help your agency reduce risk while building confidence in future AI initiatives.

The strongest AI strategies aren't built around a single product. They're built around organizational outcomes.

CDW Government can help you with the process. We begin by evaluating current workflows, identifying operational bottlenecks and determining where AI can produce measurable improvements. Our experts can help your agency prioritize projects, establish governance, and develop a phased roadmap aligned with your mission and regulatory requirements.

Agencies that take a strategic approach today will be better equipped to improve efficiency, strengthen compliance, and help personnel spend less time on repetitive administrative work and more time serving their communities.

Ready to build your agency's AI strategy?
Contact your account team today or visit CDW Government