Reduce downtime, optimize maintenance, and gain real-time machine health insights with AI-driven diagnostics built on the SUPERWISE® platform.
Manufacturing environments depend on reliable equipment performance. Even minor machine failures can cause significant production loss, delayed deliveries, and costly emergency repairs.
Manufacturing AI, powered by SUPERWISE®, provides an intelligent predictive maintenance system that continuously analyzes machine sensor data to detect anomalies, classify risk, and predict potential failures—before they occur.
This use case demonstrates how agentic intelligence can assess vibration, temperature, current, and pressure readings in real time to:
Built on the SUPERWISE® governance layer, the system ensures that AI activity is explainable, observable, compliant, and fully auditable.
SUPERWISE® Agent Workflow
SUPERWISE collects and processes real-time sensor data and historical logs to continuously monitor equipment health.
SUPERWISE reduces unplanned downtime and failures by predicting issues early, improving line availability and overall equipment effectiveness (OEE).
It applies advanced AI to detect anomalies, assess machine risk, and predict failures, providing clear maintenance priorities and timing
By targeting only at-risk assets and optimizing maintenance timing, SUPERWISE lowers emergency repairs, parts waste, and overtime, improving maintenance ORI.
The system delivers risk-based recommendations and alerts with governance controls ensuring data accuracy and traceability for proactive decision-making.
Governed, traceable predictions and escalation workflows reduce operational risk, support safety, and regulatory compliance and give leaders confidence in AI-driven decisions.
Detect early-warning signals weeks before failures occur.
Optimize maintenance schedules with prioritized risk assessments.
Expose machine health insights that increase throughput and reduce bottlenecks.
Reduce the chance of dangerous equipment failures.
Downtime is one of manufacturing’s highest hidden costs, and traditional maintenance misses early warning signs, so using governed, explainable AI to monitor assets in real time and predict failures helps plants cut unplanned stops, protect throughput, and move from reactive firefighting to proactive, intelligent operations aligned to business goals.
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Access detailed guides, APIs, and best practices for implementing SUPERWISE.
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