Leveraging AI-Powered Predictive Maintenance to Improve Reliability and Asset Performance For many manufacturers, unplanned downtime remains one of the biggest challenges affecting productivity, maintenance budgets and operational efficiency. Traditional maintenance strategies such as reactive repairs or time-based preventative maintenance often result in unnecessary interventions or unexpected equipment failures. A leading UK manufacturing facility recently implemented an Artificial Intelligence (AI) driven predictive maintenance programme to address recurring issues with critical rotating equipment, including pumps, motors and gearboxes. The Challenge The facility operated a range of production assets running continuously across multiple shifts. Despite having a preventative maintenance programme in place, the maintenance team continued to experience unexpected failures, particularly involving electric motors and bearing assemblies. These failures resulted in: Production interruptions Increased maintenance costs Emergency contractor callouts Higher spare parts consumption Reduced Overall Equipment Effectiveness (OEE) The maintenance department needed a more proactive approach that could identify potential failures before they…