Merseyside Police Deploy AI Assistant for Non-Urgent Queries

Merseyside Police has launched a new artificial intelligence tool designed to intercept non-urgent public inquiries. The initiative, reported by GN technics/ai (en-US), seeks to divert routine matters away from human operators, allowing staff to focus on more complex policing tasks. This move marks the first deployment of such a system in the North West region of England.

The force estimates that roughly one in five calls it receives does not require immediate police intervention. By shifting these interactions to a digital platform, the department aims to free up valuable time for officers. The system is positioned as an additional service rather than a replacement for existing channels, offering a faster route for those comfortable with digital communication.

Routine Inquiries Shift to Digital

The assistant, named Bobbi, is built to guide users through their issues and direct them to the appropriate services. When a user interacts with the tool, it first asks whether the situation constitutes an emergency. If the answer is yes, the user is immediately instructed to call the 999 emergency line. This initial check ensures that critical incidents are routed to human responders without delay.

For non-urgent matters, the chatbot requests basic contact details, including a name, email address, and phone number, before allowing the user to describe the problem. This data collection step is designed to gather enough information to provide a relevant response or connect the individual with the correct department. The process is automated, aiming to deliver quicker answers for simple administrative or informational requests.

Existing Phone Services Remain Intact

Police leadership has emphasized that the new tool does not replace the traditional 101 non-emergency line. Human contact resolution officers will continue to handle incoming calls, ensuring that those who prefer or need to speak to a person can do so. The digital assistant is intended to complement these services, not diminish them, by providing an alternative for those who find digital interfaces more convenient.

The primary goal is to optimize the workload distribution within the force. By handling high-volume, low-complexity queries automatically, the department hopes to reduce wait times for everyone. This approach allows human staff to remain available for situations that require nuanced judgment, empathy, or immediate physical response, which an algorithm cannot provide.

Safety and Escalation Protocols

Concerns regarding data safety and the ability to handle distressed users have been addressed by the force. Officials state that the data provided to the chatbot is protected with the same security standards as other police systems. Furthermore, the input of personal information is described as optional, allowing users to engage with the service without fully identifying themselves if they prefer.

The system is trained to detect signs of emotional distress or agitation during a conversation. If the bot identifies that a user is in crisis or becoming overly distressed, it is programmed to escalate the interaction to a human digital operator. This safety net ensures that vulnerable individuals are not left alone with an automated interface when they need human support.