Client:

London Office of Technology and Innovation (LOTI) and the Greater London Authority (GLA), and four pilot London councils: Westminster, Camden, Lambeth, and Hillingdon

Problem:

Siloed data on homelessness prevented rough sleeping teams from understanding the full journey of individuals and the effectiveness of interventions.

Goal:

To connect these data sources and provide policymakers with actionable insights

Impact:

Rough sleeping teams from pilot councils shared highly positive feedback, emphasising the tool's value in their operations.

• LOTI Programme Lead: “I've been so impressed with how much has been achieved.”
• GLA Lead: “I am so pleased to see through teamwork we have been able to achieve...”

The Rough Sleeping Insights Tool was selected for showcasing at the Paris AI Action Summit in February out of approximately 800 global entries from over 100 countries.

• LOTI Project Overview
• TechUK Feature

My process: I conducted a series of interviews with a wide range of stakeholders (including caseworkers, service provider managers, rough sleeping team leads, and commissioners) to better understand their insights needs.