Background: In response to the increased frequency of active shooter incidents nationwide, a mid-sized city’s police department, in partnership with local fire and EMS departments, sought a comprehensive training solution to enhance their preparedness, coordination, and effectiveness during such high-stakes scenarios. Previous training exercises, while useful, lacked the depth and realism needed to adequately simulate the dynamic, unpredictable nature of these incidents, where response time and coordination are critical. Objective: The city aimed to improve interdepartmental coordination, build response speed, and ensure that every team member—from dispatchers to responders on the ground—understood their roles and responsibilities. They sought a solution that could provide real-world decision-making practice without the risks of live drills, focusing specifically on active shooter protocols, evacuation strategies, and casualty management. Solution: CRLT’s The Incident Simulation for an Active Assailant/Shooter Incident Response CRLT’s high-fidelity incident simulation offered a tailored, immersive active shooter scenario, designed to replicate real-world conditions, including confined environments, crowd movement, and unpredictable shooter behavior (while still portraying the statistical probability of outcomes from participant decision- making). The city’s public safety personnel, including police, fire, and EMS, were able to interact with this lifelike environment and experience the high-pressure decision-making needed in an actual event. The AI-driven simulation dynamically adjusted based on the team’s actions, requiring critical decisions and realistic procedural adaptations. Training Process: 1. Scenario Setup: CRLT’s simulation began with victim-initiated 911 notifications to emulate dispatch calls, alerting officers and medical teams of an active shooter event in a school building. 2. Simulation Engagement: Participants navigated through the facility, practicing entry and clearance protocols, while simultaneously addressing simulated injuries among civilians. Realistic environmental conditions, including crowd panic, obstructions, and auditory distractions, were incorporated to replicate the disorienting nature of these incidents. 3. Cross-Agency Coordination: The police, fire, and EMS teams used CRLT’s platform to coordinate in real-time, practicing integrated response tactics such as rescue task force deployment, casualty extraction, and rapid transport. The simulation allowed each department to experience the timing and sequencing required to work in sync under extreme pressure. 4. After-Action Review: Upon completion, CRLT provided a detailed analytics report highlighting key performance metrics, such as response times, communication effectiveness, and decision accuracy. The report also offered insights into tactical improvements, interdepartmental dependencies, and procedural gaps. Outcomes: • Improved Response Time: Response times decreased significantly in follow-up drills, as officers became familiar with efficient entry, clearance, and evacuation strategies. • Enhanced Communication: The simulation revealed communication breakdowns between police and fire during casualty extraction. After training, participants demonstrated smoother information relay and situational awareness. • Stronger Interagency Coordination: Each department gained a clearer understanding of their counterparts’ roles, improving task handoffs and minimizing delays. • Actionable Insights for Policy Revision: The city used CRLT’s data to refine active shooter protocols, ensuring resources and support were correctly allocated during such events. Conclusion: CRLT’s simulation provided a safe, controlled environment for this city’s public safety personnel to train in a realistic, high-pressure scenario, allowing them to identify and correct critical gaps in their active shooter response plan. This training not only enhanced individual readiness but also fortified interdepartmental collaboration, ultimately elevating the city’s overall crisis response capabilities.