This paper focuses on the business case for predictive and prescriptive maintenance, emphasizing the importance of achieving rapid ROI through scalable digital solutions. It argues that organizations should move beyond reactive and preventive maintenance by leveraging AI, machine learning, and asset health monitoring to improve reliability, resilience, efficiency, and asset availability. The paper highlights how AVEVA’s Asset Strategy Optimization helps companies identify critical assets and prioritize maintenance investments, while AVEVA Predictive Analytics provides early anomaly detection, fault diagnosis, failure forecasting, and recommended corrective actions. Together, these tools enable organizations to reduce downtime, accelerate maintenance planning, scale monitoring across global operations, improve collaboration between technical and non-technical teams, and maximize returns from digital transformation initiatives.

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