70% Less Downtime for a Global OEM with AI-Powered Predictive Monitoring
70%
Reduction in downtime20%
Improvement in first-contact resolution (FCR)80%
Of hardware issues resolved remotely40%
Increase in IT support efficiencyThe Challenge
Managing a Complex, Diverse PC Ecosystem at Scale
The client sought to strengthen its Enterprise segment by delivering exceptional customer experience as a competitive differentiator. However, several operational challenges stood in the way:
- Device Diversity: With a wide range of PC models and configurations deployed across the organization, the IT Service Desk struggled to proactively manage and monitor each device’s health.
- Reactive Maintenance: Frequent hardware issues led to increased downtime, directly impacting employee productivity and incurring additional operational costs.
- Lack of Real-Time Visibility: The existing support infrastructure lacked comprehensive, real-time insights into device health, making it impossible to predict and prevent failures in advance.
- Operational Inefficiency: Without predictive capabilities, the IT Service Desk operated in a reactive mode, addressing problems only after they disrupted productivity.
The client needed a solution that could seamlessly integrate with their diverse PC ecosystem, providing comprehensive and real-time insights to the IT Service Desk for efficient management and predictive maintenance.
Sutherland Solution
AI-Powered Predictive Hardware Failure Monitoring Platform
Sutherland partnered with the client to develop and deploy an AI-powered predictive hardware-failure monitoring application across a subset of PCs spanning different departments. The solution provided both the client’s support team and Sutherland’s IT Service Desk with real-time insights into the health and performance of their PC fleet.
- Proactive Hardware Failure Identification: The AI system proactively identifies hardware components showing early signs of degradation or failure, providing detailed insights into their health and performance metrics. This enables technicians to address potential issues before they cause system failures.
- Boost Overall PC Performance: The platform delivers continuous optimizations to enhance the general performance of PCs across the organization, ensuring smooth operations and extending device lifespan through intelligent resource management.
- Remote Monitoring and Diagnostics: Real-time remote monitoring capabilities enable the IT Service Desk to diagnose and resolve issues without requiring physical access to devices, dramatically reducing response times and eliminating unnecessary on-site visits.
- AI-Driven Intelligent Prioritization: Machine learning algorithms analyze incoming issues and automatically prioritize them based on severity, business impact, and urgency—ensuring critical problems receive immediate attention while routine matters are handled efficiently.
The Outcome
Transforming IT Operations Through Predictive AI
The Sutherland transformation delivered measurable, significant improvements across the client’s IT operations. Since the start of the technology transformation, first-contact resolution has increased by 20%, demonstrating the IT Service Desk’s enhanced capability to address issues effectively on the first interaction.
Most notably, the predictive monitoring approach achieved a 70% reduction in downtime by leveraging AI-driven insights to address potential issues before they impacted employee productivity. The IT Service Desk now successfully resolves 80% of issues remotely, minimizing the need for costly on-site visits and saving substantial time and travel expenses.
AI-driven intelligent prioritization contributed to a 40% efficiency boost and significantly quicker response times for critical issues. Employees across the organization reported a more stable and reliable computing experience, with fewer disruptions and improved device performance.
The proactive monitoring and optimized maintenance schedules have fundamentally shifted the IT Service Desk from a reactive support model to a predictive, prevention-focused operation—delivering exceptional customer experience envisioned by the client for their Enterprise segment.
