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Case study: Predict before you repair: Using data and AI to transform maintenance
Faced with increasing regulatory expectations under Awaab's Law, Onward Homes developed a bespoke AI model to assess damp and mould severity in seconds. Using internal housing data and images from historic damp and mould inspections, the tool helps colleagues make faster, more consistent decisions and prioritise interventions more effectively. This session explores how the solution was developed and deployed, alongside practical lessons for housing providers looking to harness AI to improve services and customer outcomes.
