The client is a leading transformer transmission manufacturer operating in the UAE, responsible for managing high-voltage assets across key urban districts including Deira, Dubai. Their infrastructure serves tens of thousands of residential and commercial customers, making uptime and reliability a mission-critical priority.

With no real-time telemetry, fragmented systems, and a fully reactive maintenance model, unplanned outages were costly—both operationally and for the customers depending on them. Therefore, they reached out to Envision to implement an AI-powered predictive maintenance solution using MuleSoft, which eventually led to:

• 87% reduction in unplanned outages
• 40% fewer emergency crew dispatches
• 14,000+ customers protected with zero disruption
• Resolution within 48 hours of anomaly detection

Want to know more about how AI-powered predictive maintenance on MuleSoft helped the client eliminate failures before they happened?

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