Principle 2: Built into Existing Public Safety Workflows
Why does integration matter?
AI should operate within existing systems and workflows so agencies can maintain governance, reduce risk, and improve adoption. When AI tools operate outside CAD, RMS, and case management systems, agencies face fragmented oversight, duplicated work, and increased risk.
Research from the RAND Corporation highlights that gaps in data quality, interoperability, and governance can hinder law enforcement operations, reinforcing the value of AI that is connected to authoritative data and embedded within governed workflows.
AI belongs within the systems where public safety work already happens. That principle defines Mark43’s second principle: AI built directly into existing workflows.
How can AI tools maintain governance while improving efficiency?
Rather than introducing separate tools, Mark43 embeds AI directly into its CAD and RMS platform agencies rely on every day, keeping it connected to the data in those systems. AI operates within established role-based permissions, audit trails, compliance frameworks, and supervisory processes. This integration strengthens both efficiency and governance.
By integrating AI directly into the core system of record, customers become more efficient. For example, with BriefAI, summaries are drawn from authoritative, connected data sources from RMS and Case Management. Inline citations link directly to associated records for full transparency and defensibility. For many agencies, this eliminates duplication, manual checks, and time wasted on repetitive workflows. It allows Chiefs, command staff and supervisors to communicate and share information quicker, with mission-critical information at their fingertips.
Additionally, agencies can apply their own policy and frameworks to guide next steps and suggestions across AI workflows. As Wendy Gilbert, SVP of Product at Mark43 shares, “Those suggestions can actually be loaded based on your policy guidance so if you have specific policies by case type or crime type for investigative purposes that can actually reflect back what your next best action is for the department.”
The same goes for ReportAI. It combines data from CAD, officer notes, body-worn camera transcripts, and event context to generate accurate first drafts in seconds. Report and form field suggestions are generated based on this same data. Before submission, reports are validated against agency-specific rules.
Zach Barden, Lead AI Product Manager, shares “Yesterday, after a disposition, officers had to review CAD notes, their notes, and body cam footage before they could start the report. Today, with Mark43 ReportAI, all of that context comes together in Mark43 RMS, helping officers move fast to a first draft, complete reports faster, and improve accuracy.”
The results? More consistent reports, streamlined supervisor review, measurable productivity gains, and more time back on patrol, while maintaining control and accountability through role-based permissions across the reporting workflow.
Embedding AI into core workflows delivers three critical advantages:
- Reduced friction and stronger adoption
- Governance reinforced through existing permissions and controls
- Consistent application of agency standards
As AI use cases continue to expand, agencies benefit most from innovation integrated into the platforms that already govern their work, manage their data and that their teams and communities depend on every day.
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