Empower your agency with AI for law enforcement
Transform public safety operations with the power of the possible.
The truth about AI in public safety
Imagine a world in which every emergency call, text or alert — routine or critical — is managed seamlessly, prioritized and routed to the right people at the right time. A dispatcher connects the dots between events, detects anomalies and makes informed decisions with ease. Field responders arrive on scene equipped with a complete picture: past incidents, potential hazards, nearby resources and real-time updates — all delivered in a clear, actionable format.
Picture an always-on ecosystem in which AI continuously monitors operational systems, detects anomalies and proactively alerts personnel to emerging risks. Leadership gains instant insights through intuitive dashboards and natural language queries, while communities benefit from real-time transparency and updates.
This isn’t just a possibility — it’s a transformation that’s happening right now thanks to the implementation of AI tools for law enforcement. Assistive AI is empowering agencies to achieve this future through advanced AI workflows, seamless integrations and a bold innovation roadmap.
AI is already part of the industry
AI is not the future — it's already here.
Public safety agencies already use AI for police in a range of applications, and it’s only the beginning.
- Help call-takers maintain focus and identify situations that need their attention quickly
- Allow law enforcement to prepare for potential incidents and allocate resources accordingly with crime trend mapping and predictive analytics
- Enable data sharing between police, fire, EMS and utility companies during natural disasters
- Assist with anomaly detection, crowd behavior analysis and object identification in video surveillance
Hexagon is ready with assistive AI
As the first provider to bring AI-driven dispatch technology to the market with Smart Advisor in 2020, Hexagon continues to lead the way in integrating advanced AI capabilities into public safety operations. AI is not just automation — it amplifies human decision-making, enhances situational awareness and extends value across the public safety ecosystem.
Achieving the extraordinary requires more than technology — it demands a trusted partner with a proven track record of innovation. As the first to bring AI-driven dispatch technology to public safety, Hexagon continues to lead with an ecosystem that transforms challenges into opportunities.
How can AI help?
AI tools for law enforcement can alleviate a number of pain points and be a force multiplier for public safety.
AI can help solve:
Workforce shortages and demands
Data overload and fragmented intelligence
Operational inefficiencies
Outdated systems
Complexity and lack of actionable insights
The challenge: A complex, evolving landscape
Public safety agencies face significant hurdles in delivering efficient, coordinated and effective services. AI can solve many of these challenges, but it comes with its own risks. Hexagon addresses these important issues in the transparency of our AI products.
Avoiding bias
AI is only as good as its algorithms, so designers must be careful not to insert inherent biases into the programming. Companies that employ artificial intelligence in their solutions have a responsibility to be thorough and thoughtful in creating policies surrounding the development of AI.
Prioritizing humanity
Many agencies hesitate to adopt AI due to misconceptions or fear of automation replacing personnel. But practical, human-centered AI applications use technology to augment human expertise rather than replace it. AI enhances critical tasks while keeping personnel in control, ensuring decisions remain informed by human judgment.
Maintaining transparency
Public trust erodes when agencies fail to meet expectations for transparency and accountability. Unified AI platforms that enhance interagency coordination and real-time data sharing build trust and improve outcomes. It’s also important that AI for law enforcement adheres to standards like GDPR, ensuring secure and ethical data use.
Making Lee County safer for all
To safeguard its community, the Lee County Sheriff’s Office relies on HxGN OnCall Dispatch, the linchpin of its dispatch operations and real-time intelligence center.
Improving public safety in Bahia, Brazil
To improve public safety, the Public Safety Secretariat of the State of Bahia invested in the implementation of a video monitoring project considered the largest and most comprehensive public safety technology initiative in the country.
Tracking athletes in the Norwegian wilderness
Officials at the operations center of the Norseman Xtreme Triathlon have real-time, integrated views of participant and crew positions, video livestreams of route, dynamic weather data and more.
The truth about AI in law enforcement
Artificial intelligence (AI) in public safety refers to machine learning, predictive analytics and automation technologies that assist police, fire, EMS, emergency management and public officials in making faster, more informed decisions. AI does not replace human judgment — it enhances it.
AI can:
- Automate redundant tasks (e.g., call transcription, records summarization)
- Detect patterns and anomalies (e.g., suspicious activity in video, crime trends)
- Improve situational awareness (e.g., real-time crime center integration, sensor analytics)
- Optimize resources and response (e.g., dynamic unit deployment, staffing analytics)
- Emergency call handling and dispatch
- AI-powered transcription, translation and triage for 911 calls
- AI-assisted dispatch recommendations based on unit availability, call priority and location
- Real-time video and sensor analysis
- AI-powered video analytics can detect weapons, fights or unattended objects in real time
- AI-driven traffic camera monitoring can identify accidents, congestion or hazards
- Situational awareness and command operations
- AI-enhanced incident command tools provide live dashboards of ongoing emergencies
- AI can correlate multiple alerts across agencies (e.g., CAD, video, sensors) for a more complete operational picture
- Digital evidence and investigations
- AI automates the categorization and analysis of bodycam footage, crime reports and digital forensics
- AI-driven link analysis helps detect connections between cases, suspects and incidents
- Predictive analytics and risk modeling
- AI identifies high-risk areas for fire, crime and medical emergencies based on historical data
- AI models help agencies optimize staffing, pre-positioning of units and resource allocation
No. AI is not here to replace first responders or dispatchers — it’s here to assist them. AI automates tedious, time-consuming processes and highlights key insights, but final decisions always remain with human personnel.
✔ AI helps reduce burnout by eliminating repetitive administrative tasks
✔ AI improves response times by surfacing the right data at the right time
✔ AI assists investigations by detecting patterns across reports, but detectives still lead the case
Yes. AI-powered platforms can help bridge communication gaps between local, state and federal agencies. AI can:
- Unify incident data from CAD, RMS, traffic, fire and emergency department management systems
- Provide real-time situational awareness dashboards for cross-agency collaboration
- Identify trends across jurisdictions to improve resource planning and prevent crime escalation
AI can be biased if not properly trained on diverse datasets. Agencies must ensure:
- Transparent AI models that explain how decisions are made
- Regular audits of AI outputs to check for unfair biases
- Human oversight to validate AI-generated recommendations
When considering AI solutions, public safety leaders should ask:
✔ Does this AI solution integrate with our existing systems?
✔ Is this AI model transparent and explainable?
✔ Does it enhance situational awareness and responsive effectiveness?
✔ Is it scalable and flexible to adopt new AI capabilities over time?
AI should not require a complete technology overhaul — platforms should allow agencies to adopt AI capabilities at their own pace.
