Five Data-Driven Fixes to Help Housing Providers Overcome Repairs and Maintenance Challenges
The financial pressure on social landlords has never been greater. According to the Regulator of Social Housing’s 2024 Tenant Satisfaction Measures (TSMs) and the imminent rollout of RepairSense uses machine learning to surface insights from thousands of historical repairs records, enabling landlords to take action before small issues escalate into costly or hazardous disrepair. This […]
How RepairSense’s Unique Approach to Damp & Mould Management Can Save Your Team Hours Every Week
Damp and mould are persistent issues in social housing, requiring fast, effective responses to protect tenant health and maintain housing stock. However, traditional reactive maintenance approaches often lead to repeat repairs, inefficient scheduling, and excessive resource use. With the introduction of the RepairSense Damp & Mould Module takes a predictive maintenance approach, using AI-driven insights […]
How Data-Driven Technology Can Transform Repairs in Social Housing
The Regulator of Social Housing’s 2024 Global Accounts report Mobysoft’s RepairSense platform, offers a clear path to mitigating these pressures while improving tenant satisfaction and service delivery. The Hidden Costs of Unresolved Repairs Unaddressed or recurrent repairs in social housing create a cascade of negative outcomes for tenants, providers, and properties. Key challenges include: Addressing […]
Social Housing 2025: The Experts Predict What\’s Next
We asked a hand-picked selection of our in-house social housing experts (all of whom are steeped in experience and knowledge across various facets of the sector) to give us their predictions for the year ahead…
Leveraging AI in Social Housing: Building a Data Strategy for Enhanced Compliance and Efficiency
In the dynamic world of social housing, the integration of Artificial Intelligence (AI) is no longer a futuristic concept but a tangible tool that can revolutionise operations. By strategically incorporating AI into their data strategy, social housing organisations can drive efficiencies, enhance compliance, and lies in the quality of the data. For social housing organisations, […]
AI & Income Collection: Getting It Right
In the ever-evolving landscape of social housing, landlords are facing numerous challenges in income collection and tenancy sustainment. The rise in the cost of living, the ongoing rollout of Universal Credit, funding shortfalls, new consumer standards, and budgetary pressures are some of the most pressing issues to be overcome, all of which are spurring social […]
NHF Finance Review: Artificial Intelligence (AI) in Housing Finance – Is This The Future?
At the NHF Finance Conference held in March 2024 at the ACC in Liverpool, Mobysoft and Together Housing, alongside Bromford, discussed how AI is impacting finance teams across social housing providers in the UK. There were a lot of questions and interactions from the the audience, so we thought we would summarise some of those along with the responses…
AI & The Workforce: How Get Staff Buy-In When Introducing AI Into Your Organisation
In this article, we explore crucial aspects of understanding training needs and actively engaging employees to ensure seamless integration and garner staff buy-in for AI technologies within a social housing context…
Three Top Tips for Creating Guardrails When Introducing AI Into Your Organisation
For many organisations, establishing guardrails will be paramount to prevent data bias and ensure compliance, but how best to approach putting them in place? In this article, we\’ll explore three essential tips for creating effective guardrails when introducing AI into your organisation.
Explainability, Legality & AI: Why Is It Important?
Explainability and legality not only dictate the transparency and accountability of AI systems but also ensure compliance with legal regulations. Let\’s delve into why explainability and legality in AI are of utmost importance.