Predictive Policing (Police AI Use Case)

Telefónica Tech’s Predictive Policing Accelerator is an end-to-end data and AI solution designed to help police forces anticipate and prevent crime through advanced analytics and machine learning.

The solution integrates data from multiple sources including CAD, RMS, intelligence systems, and partner agencies into a unified, secure, and governed analytics platform built on Azure Databricks or Microsoft Fabric. This creates a single intelligence foundation that enables force-wide visibility and analysis.

Using machine learning models, the platform delivers key capabilities such as:

• AI-driven crime hotspot identification to detect emerging patterns and risks • Demand forecasting to predict crime trends and optimise resource allocation • Operational decision support through dashboards and reporting accessible to both leadership and frontline officers • Explainable AI models to ensure transparency, accountability, and alignment with policing ethics

The solution supports earlier intervention and more targeted policing, helping forces deploy resources where they will have the greatest preventative impact. It also improves operational consistency, reduces response times, and enhances public confidence through more transparent, intelligence-led decision-making.

Telefónica Tech provides full lifecycle delivery, including data strategy, platform implementation, machine learning development, and ongoing optimisation, alongside knowledge transfer and training to ensure long-term capability uplift.

Aligned to Policing Vision 2030 and PEEL outcomes, the solution enables measurable improvements in effectiveness, efficiency, and legitimacy while supporting safer communities.