Webinar Overview

UK policing is going through sustained police reform. Forces are being asked to manage rising demand, protect vulnerable people more effectively, collaborate across agencies, and demonstrate stronger accountability and transparency.

 

Policing Vision 2030 is clear on the direction of travel. Forces need stronger foundations for prevention, protection of vulnerable people, and evidence‑led decision making. That means better use of data, stronger assurance, and technology that can adapt as priorities, legislation, and operating models evolve.

 

Artificial intelligence is part of that future. But only when it is built on interoperable platforms, trusted data foundations, and governance that can stand up to scrutiny today and change tomorrow.

 

In this session, Telefónica Tech and Databricks explore how forces are building the data platforms needed to support ongoing police reform and accelerate operational outcomes.

 

Using practical examples including predictive policing and Clare’s Law safeguarding workflows we will demonstrate how data and AI can help forces move from strategy to capability.

Police officer completing paperwork as part of a Clare’s Law risk assessment related to domestic abuse prevention.

Why This Matters Now

Policing reform is not a one‑off programme. It is ongoing.

 

Forces are expected to:

  • Work more collaboratively across agencies
  • Share and reuse data more effectively
  • Strengthen legitimacy and public confidence
  • Shift from reaction to prevention

 

At the same time, technology choices made today must continue to work as:

  • Standards evolve
  • Systems change
  • New operational and assurance requirements emerge

 

This session focuses on how forces can invest in future‑ready data and AI foundations that support reform, rather than needing to be replaced every time the landscape shifts.

 

The aim is not to predict the future, but to be ready for it.

Community police officers supporting public safety as part of a modern policing vision

Watch On Demand

Fill the form out below to learn how UK police forces are building data and AI foundations that support prevention, safeguarding, and long-term reform.

 


More Details

  • How policing reform shapes technology decisions
    Understand how scrutiny, governance, and operational realities influence what is viable, trusted, and sustainable when introducing AI in policing.

 

  • Why data foundations matter more than individual tools
    Learn why interoperable data platforms, standardised ingestion, and platform-level governance enable collaboration, scalability, and long-term change.

 

  • Where AI supports prevention today
    See how predictive policing and analytics can support safeguarding, demand forecasting, and preventative decision-making.

 

  • How to build technology that adapts as reform evolves
    Explore how auditability, governance, and human-in-the-loop AI help forces evolve capabilities without rebuilding systems.
  • Welcome & Why Reform Changes the Technology Conversation
    Setting the context: reform is ongoing, not a programme with an end date.

 

  • Police Reform in Practice: What Forces Are Being Asked to Deliver 
    National direction vs operational reality, rising safeguarding demand, fragmented data, and why brittle platforms undermine reform.

 

  • Reform‑Ready Foundations: How Data Platforms Enable Change 
    What reform demands from data platforms, interoperability, governance, auditability and why foundations matter more than tools.

 

  • Predictive Policing Demo: Data & AI Supporting Reform Outcomes 
    A practical demonstration showing predictive policing as one outcome of reform‑ready data foundations.

 

  • What This Means for Your Force 
    Common starting points, incremental progress (not “big bang AI”), and how predictive policing fits into a wider reform journey.

You will leave this session with:

 

  • A clearer understanding of how Vision 2030 influences technology strategy
  • A practical view of what “future-ready” policing technology actually looks like
  • Real examples of AI supporting prevention and safeguarding
  • A framework for evaluating interoperability, governance, and data foundations

 

The question is not whether technology will need to change but whether the foundations you build today are strong enough to support whatever comes next.

Accelerating Police Reform with AI: Predictive Policing and Clare’s Law

To demonstrate how technology can support the goals of police reform, Telefónica Tech has developed two practical AI accelerators designed to help forces save officer time and support more prevention-led policing.

 

The first accelerator focuses on Predictive Policing, using predictive analytics to analyse crime data and operational activity. This enables forces to identify emerging hotspots, anticipate demand, and deploy resources more proactively helping officers move from reactive response toward prevention.

 

The second accelerator supports Clare’s Law (Domestic Violence Disclosure Scheme) using agentic AI. The solution assists officers by gathering information across systems, guiding them through safeguarding processes, and summarising key risk information. This helps officers manage complex safeguarding workflows more efficiently while maintaining full human oversight.

 

Together, these accelerators demonstrate how modern data platforms, predictive analytics, and agentic AI can help forces save time, improve decision-making, and deliver the prevention-focused outcomes expected as part of ongoing police reform.

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