Predictive Hardware Intelligence Cuts Enterprise IT Downtime by 70%
70%
Reduction in Downtime20%
Increase in First Call Resolution50%
Reduction in Support CallsClient Overview
A global PC manufacturer wanted to strengthen its enterprise segment offering with a more proactive support experience. With a diverse portfolio of PC models and configurations, the client sought a scalable way to help enterprise customers manage device health and hardware issues more effectively.
The Challenge

Reducing the Impact of Unexpected Hardware Failures
For enterprise IT teams, a hardware failure could mean more than an unavailable device. Once an issue occurred, teams had to diagnose the failed component, determine the required replacement, and arrange the necessary hardware or parts. This process could extend device downtime, impacting employee productivity and increasing operational costs.
Managing hardware issues reactively became increasingly challenging across a diverse range of PC models and configurations. The client needed to give its enterprise customers greater visibility into device health and potential hardware failures, allowing IT teams to prepare for the required intervention before an issue disrupted the end-user experience.
Sutherland Solution
Predictive Hardware Intelligence with Envision AI

Sutherland collaborated with the client to deploy Envision AI, its AI-powered endpoint management platform, to deliver predictive hardware intelligence for enterprise customers. By continuously monitoring hardware health and performance, Envision AI uses device data to identify potential hardware failures before they occur.
These predictive insights give enterprise IT teams time to determine the required intervention and prepare the necessary hardware or replacement parts in advance, helping minimize device downtime. Envision AI combines unified endpoint visibility with advanced diagnostics, giving support teams deeper insight into device health and helping them investigate issues remotely without always requiring on-site intervention.
Turning Predictive Insights into Proactive Device Support
Predicting a potential failure is only part of the value. The advance warning gives support teams the lead time needed to plan the appropriate response before the device becomes unavailable.
This enables IT teams to move from reactive troubleshooting to predictive maintenance, reducing the time spent diagnosing failures and arranging replacement hardware after an incident occurs. Integrated into the manufacturer’s enterprise offering, the solution extends this capability to customers’ IT helpdesks, enabling more proactive device management across diverse PC environments.
The Outcome

Reducing Downtime and Improving Issue Resolution
Predictive hardware intelligence delivered measurable improvements across enterprise customer environments. First call resolution increased by 20%, enabling support teams to address more issues during the initial interaction. Predictive insights helped reduce downtime by 70%, allowing teams to address potential hardware issues before they impacted productivity.
The proactive approach also helped reduce support calls by 50%, easing the demand on IT support teams.
Earlier identification of potential failures helped enterprise IT teams reduce disruption to end users and manage hardware incidents more efficiently. Together, these improvements made hardware support more efficient while reducing the disruption caused by device failures.
For the PC manufacturer, this translated into a stronger support experience for enterprise customers.



