AI-Driven Predictive Policing | Telefónica Tech UK

Predictive Policing

AI-powered predictive policing and crime analytics for proactive, intelligence-led prevention

Emergency Services | Data Science and AI Use Case Get Started

Business Challenge

Police forces today face rising demand, limited resources, and increasingly complex threats that make proactive crime prevention harder than ever.

UK police forces are under sustained pressure to deliver more effective, visible, and preventative policing with flat or constrained budgets. Demand continues to rise, crime patterns are becoming more complex, and public and political scrutiny is increasing yet workforce and funding growth have not kept pace.

The overall UK crime rate saw an increase of 4.1% from the previous period ending November 2024. At the same time, forces are expected not just to respond, but to prevent crime and protect vulnerable people more proactively.

This challenge sits at the heart of Policing Vision 2030, which calls for a decisive shift towards data‑led, preventative policing, smarter use of technology, and better exploitation of intelligence to improve outcomes for the public.

However, many forces remain constrained by:

Fragmented and siloed data across CAD, RMS, intelligence, and partner systems

Manual, time‑consuming analytical processes

Limited capacity to consistently identify emerging risks and crime patterns

As a result, policing too often remains reactive, responding after harm has occurred rather than intervening earlier. Traditional approaches rely heavily on officer experience and historical intuition, which may not fully reflect current crime patterns or emerging threats.
Read more about Policing Vision 2030 and the data foundations it demands

How AI Can Help

Predictive policing helps forces meet the ambitions of Policing Vision 2030 by enabling evidence-led decisions on where and when resources will have the greatest preventative impact. By combining advanced analytics, machine learning, and governed data foundations, AI enables forces to anticipate demand, identify emerging risks, and intervene earlier.

Predictive policing provides tailored, role-specific intelligence from Chief Constables to Heads of Change by transforming policing data into actionable insight through:

Unifying fragmented data from computer aided dispatch (CAD), record management systems (RMS), intelligence reports, and partner agencies into a single, secure and governed intelligence foundation

Identifying crime hotspots, emerging trends, and hidden risk patterns that are difficult to detect through manual analysis alone

Forecasting demand and predicting optimal times and locations for patrols and targeted interventions

Generating clear, auditable insights through dashboards, reports, and natural-language summaries

Supporting inspectors, analysts, and frontline officers with timely, evidence-led decision support

Delivered on secure, scalable platforms such as Databricks, predictive policing solutions can be tailored to each force’s priorities, crime types, and operational context.

NEW Blog: What is Predictive Policing & Why Is It Important? Read more here

Expected Outcomes

Evidence-Led Resource Allocation

Deploy officers and assets more effectively by prioritising locations, times, and crime types based on predictive insight rather than historic patterns alone.
Proactive Crime Prevention

Identify emerging risks earlier, enabling officers to intervene before incidents escalate or repeat.
Improved Operational Performance

Reduce response times, improve patrol effectiveness, and support more consistent decision-making across teams and shifts.
Enhanced Transparency and Trust

Enable auditable, explainable decision support aligned to policing ethics, governance, and accountability standards.
Safer Communities

More visible, intelligence-led policing improves public confidence while helping reduce crime in priority locations.

Evidence-Led Resource Allocation

Proactive Crime Prevention

Improved Operational Performance

Enhanced Transparency and Trust

Safer Communities

Predictive Policing Aligned to PEEL

UK police forces are assessed by HMICFRS through the PEEL framework, which measures how effectively forces prevent crime, how efficiently they use resources, and how legitimately they exercise policing powers.

As a result, many forces now align their data strategies and analytics programmes directly to these three pillars, ensuring that investment in data and AI translates into measurable inspection outcomes.

By aligning predictive analytics directly to PEEL outcomes, forces can clearly demonstrate how data and AI investment improves operational performance, inspection readiness, and public confidence.

Predictive policing supports PEEL by enabling evidence-led decision-making across all three areas:

Effectiveness - Preventing Crime

Anticipating emerging violence and acquisitive crime, identifying escalation and repeat-harm risk, and improving understanding of key individuals and networks driving crime.

Efficiency - Effective Use of Resources

Forecasting demand, optimising patrol and proactive deployment, improving response performance, and reducing manual data processing so officers focus on higher-value activity.

Legitimacy - Fair Treatment of Citizens

Supporting proportionate use of powers, identifying emerging complaints or dissatisfaction, strengthening oversight of officer behaviour, and improving consistency of victim support.

Predictive policing supporting proactive policing and risk management during major public events.

In Partnership with Databricks

Book a Tailored Predictive Policing Demo

Built on Databricks Genie

Book a live demonstration of our predictive policing and crime analytics capability, tailored to UK policing priorities. Demos can be tailored to specific job roles, showing how the solution supports daily decision-making from Chief Officers and Heads of Change to analysts, inspectors, and frontline leaders.

In a tailored demo, you will see how AI can:

Support strategic leaders with long-term demand forecasting, performance insights, and preventative planning
Enable operational leaders to prioritise resources, patrols, and interventions in near real time
Empower analysts with faster pattern detection, hotspot analysis, and emerging risk identification
Provide frontline teams with clear, actionable intelligence through intuitive dashboards and briefings

You will also see an end-to-end workflow, including data ingestion, hotspot identification, emerging crime trend analysis, and visual and natural-language insights all delivered through secure, governed, and auditable AI.

Book your demo now

Emergency Services AI Use Case: Predictive Policing

Why Telefonica Tech?

Public Sector and Policing Expertise

We have deep experience delivering solutions across policing, justice, and public safety helping forces move from reactive response to proactive prevention while improving transparency, trust, and operational effectiveness.

Proven Predictive Policing Capability

Our predictive policing and crime analytics capability is being used within police forces across the UK, combining data engineering, machine learning, hotspot detection, and emerging crime trend analysis to support earlier, evidence-led intervention.

End-to-End Delivery

From data strategy and architecture to model development, deployment, and ongoing optimisation, we support every stage of your policing AI journey ensuring solutions are practical, adoptable, and aligned to national priorities.

Ethical, Secure, and Responsible AI

Built with robust governance, security, and accountability frameworks, our AI solutions comply with policing ethics guidance, national data standards, and all relevant legal and safeguarding requirements including the principles of Policing Vision 2030.

Rapid Adoption and Scalability

We design solutions that integrate with existing systems and workflows, enabling rapid adoption and measurable operational benefit at force and regional level.

Knowledge Transfer and Capability Uplift

We don’t just deliver the technology, we enable forces to own and evolve it. Our knowledge-share approach ensures your teams understand the models, data, and decision logic behind predictive policing. Through hands-on training, documentation, and co-development, we help to build in-house capability, so forces become self-sufficient, confident users of AI, and future-ready for what comes next.

Commonly Asked Questions

How accurate are AI crime hotspot predictions?

Accuracy depends on data quality, model maturity, and continuous calibration. Well-governed models consistently outperform manual hotspot mapping by identifying trends not immediately visible to analysts or officers.

What data sources are used for AI-based predictive policing?

Common inputs include CAD data, RMS records, crime reports, stop/search data, environmental features, seasonal trends, and partner-agency insights. AI can unify disparate datasets to create a consolidated intelligence picture.

Does predictive policing replace analyst or officer expertise?

No, AI augments human decision-making by automating pattern detection and surfacing insights faster. Officers, analysts, and supervisors still make the operational decisions and apply professional judgment.

Is AI in policing ethical and compliant with regulations?

Yes, Telefónica Tech ensures alignment with policing ethics guidance, data protection law, and national information security standards. Models are transparent, auditable, and designed to minimise bias in line with responsible AI principles.

How quickly can forces see operational impact from predictive policing?

Forces typically begin seeing improved patrol efficiency and more targeted interventions within weeks of deployment, with continual improvement as models learn from new data.

Can predictive policing integrate with existing force systems?

Yes. Predictive policing insights can be embedded into command-and-control systems, analytics dashboards, or mobile apps for frontline officers, supporting seamless operational use.