Key Takeaways
- The Citrus Heights Police Department has rolled out OneReport, an AI‑driven online platform for reporting non‑emergency crimes such as shoplifting, vehicle break‑ins, vandalism, hit‑and‑run crashes, and traffic‑safety concerns.
- OneReport guides users through an interactive questionnaire, using artificial intelligence to ask follow‑up questions that elicit details residents might overlook.
- The system was created by former Sacramento Police officer Daniel Tatenko, who designed it to bridge the gap between what the public knows and what investigators need.
- Police leaders stress that the technology serves as a force multiplier, enhancing efficiency without replacing officers.
- Lt. Wesley Herman emphasized that the tool will help the department “do our job better for the community with the resources we have.”
- While the AI improves data collection, the department acknowledges privacy and accuracy safeguards remain essential.
Citrus Heights Police Department Introduces AI‑Powered Online Crime Reporting System
The Citrus Heights Police Department (CHPD) announced the launch of a new online crime‑reporting tool that leverages artificial intelligence to streamline how residents submit reports of non‑emergency incidents. Named OneReport, the platform debuted this week as part of the department’s broader effort to modernize public‑safety services and reduce the burden on both citizens and officers. By moving certain reporting functions to a secure web‑based interface, CHPD hopes to increase the volume and quality of incident data while freeing patrol personnel for higher‑priority tasks. The initiative reflects a growing trend among municipal police agencies to adopt digital solutions that meet community expectations for convenience and transparency.
How OneReport Guides Residents Through the Reporting Process
OneReport operates as an interactive questionnaire that adapts its line of questioning based on the type of incident a user selects. After logging onto the department’s website, residents choose a category—such as shoplifting, vehicle break‑in, vandalism, hit‑and‑run, or neighborhood traffic safety—and the system presents a series of prompts tailored to that specific offense. As users answer each question, the AI analyzes their responses in real time and generates follow‑up inquiries designed to capture missing or clarifying details. This dynamic flow ensures that the final report submitted to investigators is as complete as possible, reducing the need for officers to contact complainants later for additional information.
Former Sacramento Officer Daniel Tatenko’s Vision for Better Data Collection
The technology behind OneReport was developed by Daniel Tatenko, a former Sacramento Police officer who left the force to focus on improving how information flows from the public to law enforcement. Tatenko explained that his motivation stemmed from observing frequent gaps in the details officers receive during initial reports, which can hinder investigations. “I think that police departments are embracing this way and how information should flow in,” Tatenko said, noting that the platform aims to make the reporting experience intuitive while still eliciting the factual depth investigators require. By building a tool that asks the right questions at the right time, Tatenko hopes to bridge the communication divide between community members and police analysts.
Eligible Non‑Emergency Incidents for Online Reporting
OneReport is currently limited to incidents that have already occurred and do not pose an immediate threat to safety. Eligible categories include shoplifting, vehicle break‑ins, vandalism, hit‑and‑run crashes, and general neighborhood traffic‑safety concerns such as speeding or illegal parking. Incidents involving injuries, ongoing crimes, or situations requiring an urgent police response must still be reported via 911 or the department’s non‑emergency phone line. By focusing on lower‑risk, post‑event matters, the system can safely automate much of the data‑gathering process without compromising public safety or the integrity of ongoing investigations.
Artificial Intelligence Tailors Follow‑Up Questions to Capture Missing Details
A core feature of OneReport is its AI‑driven questioning engine, which dynamically adjusts based on the user’s initial inputs. For example, if a resident reports a vehicle break‑in but fails to mention whether any items were stolen, the system will prompt, “Were any personal belongings or valuables taken from the vehicle?” Similarly, in a vandalism report, the AI may ask for descriptions of graffiti, timestamps, or any suspicious activity observed nearby. Tatenko emphasized this capability, stating, “Not everyone knows what a police department needs in a report, so we’re able to suss that out of people and ask the right questions.” The goal is to reduce the investigative workload caused by vague or incomplete submissions while empowering residents to provide the specifics that help officers piece together a clearer picture of what occurred.
Quote from Tatenko About Sussing Out Needed Information
During the rollout announcement, Tatenko elaborated on the philosophy behind the AI’s questioning strategy: “Not everyone knows what a police department needs in a report, so we’re able to suss that out of people and ask the right questions.” This statement underscores the system’s design principle—leveraging machine learning to anticipate the information gaps that commonly appear in civilian‑generated reports and to proactively fill those gaps through guided dialogue. By doing so, OneReport aims to produce reports that require less back‑and‑forth clarification, thereby accelerating the investigative timeline.
Law Enforcement Views AI as a Force Multiplier, Not a Replacement
Citrus Heights police leadership were quick to clarify that the introduction of AI does not signal a move toward automating police work or reducing officer staffing. Lt. Wesley Herman, a spokesperson for the CHPD, framed the technology as a supportive tool that enhances existing capabilities. “Technology is going to continue to be a force multiplier that’s going to continue to make things more efficient, and we’re going to do our job better for the community with the resources we have,” said Lt. Wesley Herman. This perspective aligns with many agencies nationwide that view AI as a means to augment human judgment, improve data accuracy, and allocate limited personnel more effectively rather than replace the nuanced decision‑making that officers provide.
Quote from Lt. Wesley Herman on Efficiency and Community Service
Lt. Herman’s comment encapsulates the department’s outlook on the new system: “Technology is going to continue to be a force multiplier that’s going to continue to make things more efficient, and we’re going to do our job better for the community with the resources we have.” By emphasizing efficiency, the lieutenant highlights the anticipated benefits of reduced administrative overhead, faster report turnover, and improved data quality—all of which can translate into swifter investigative responses and a heightened sense of safety among residents.
Potential Benefits: Faster Reporting, Improved Data Quality, and Resource Allocation
The deployment of OneReport promises several tangible advantages for both the public and the police department. Residents can file reports at any time from a computer or mobile device, eliminating the need to visit a station or wait for a non‑emergency line to open. The AI’s guided questioning is expected to yield more complete and standardized reports, reducing the likelihood of missing critical details such as suspect descriptions, vehicle information, or exact timestamps. For investigators, richer initial data means less time spent chasing down clarification and more time devoted to analysis and follow‑up. Ultimately, the efficiencies gained could allow the CHPD to reallocate patrol resources toward proactive crime‑prevention initiatives, community outreach, or responses to higher‑priority calls.
Addressing Privacy, Accuracy, and Limitations of AI in Police Reporting
While optimism surrounds the new system, officials acknowledge potential concerns related to privacy, data security, and the limitations of artificial intelligence. The department assures users that all information submitted through OneReport is encrypted and stored in compliance with state and federal data‑protection regulations. To mitigate the risk of AI‑generated errors, every report undergoes human review by a sworn officer before being entered into the official case management system. This hybrid approach ensures that the technology serves as an aid rather than an autonomous decision‑maker, preserving accountability and safeguarding against biases that could arise from overly reliant algorithmic processing.
AI Adoption Across Law Enforcement Agencies Nationwide
Citrus Heights’ move reflects a broader national shift toward integrating artificial intelligence into various facets of policing. Agencies from large metropolitan departments to smaller suburban forces have experimented with AI for tasks ranging from predictive analytics and license‑plate recognition to automated transcription of body‑camera footage and chat‑based citizen services. The success of platforms like OneReport often hinges on clear use‑case definition, robust oversight, and transparent communication with the public—elements that the CHPD appears to prioritize as it rolls out the tool. As more jurisdictions share best practices and lessons learned, the role of AI in policing is likely to evolve from experimental pilots to standard operating procedures.
What’s Next for Citrus Heights and Community Engagement
Looking ahead, the Citrus Heights Police Department plans to monitor the performance of OneReport closely, soliciting feedback from residents and adjusting the questionnaire logic based on real‑world usage. Community outreach efforts will include informational webinars, social‑media tutorials, and partnerships with local neighborhood watch groups to ensure that all demographic segments understand how to access and benefit from the new system. If the pilot proves successful, the department may consider expanding the platform’s capabilities to include additional incident types, multilingual support, or integration with other digital services such as online tip submissions or crime‑mapping dashboards. Ultimately, the goal remains clear: harness technology to strengthen the partnership between law enforcement and the community, making reporting simpler, more accurate, and more responsive to the needs of Citrus Heights residents.
https://www.cbsnews.com/sacramento/news/citrus-heights-police-crime-reporting-website/