AI-Powered Housing Management: Incommunities’ Innovation in Predictive Maintenance*

The integration of artificial intelligence (AI) into housing management presents an opportunity to improve efficiency, enhance tenant support, and reduce operational costs. Incommunities, a Yorkshire-based housing provider, has partnered with the University of Bradford to trial an AI-driven approach to predictive maintenance and tenant support. This initiative provides a valuable model for other housing associations looking to leverage AI to enhance service delivery, optimise resources, and improve tenant well-being.

For executives, this case study highlights how AI can drive cost efficiencies while supporting a long-term digital strategy. For Board Member's, it demonstrates how governance, ethical AI adoption, and tenant protection can align with organisational objectives.

Introduction

Social housing providers face increasing pressure to maintain quality services despite financial constraints. The challenge of keeping homes in good condition, responding quickly to maintenance issues, and providing timely support to tenants requires smarter solutions.

To address these challenges, Incommunities partnered with the University of Bradford in a Knowledge Transfer Partnership (KTP) funded by UK Research and Innovation (UKRI) (£179,165 grant). The project focuses on using machine learning and predictive analyti...