[Case study](/case-studies)17 April 20242 mins

# Fortune 100 Tech Leader Improves Incident Management with Skan AI

Skan AI revolutionizes incident management for a tech leader, driving millions in savings and 50% faster case processing through standardization and automation.

Estimated cost savings

$2B

$2B

Reduction in average case processing time

50%

50%

Industry

[Technology](/case-studies/industries/technology)

Company Size

100,000+

Revenue

$90B+

Location

United States

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This client is a provider of innovative technology solutions. They not only dominate the PC market, but venture into high-end computing technology, offering solutions in cloud computing, data storage, and virtual reality.

## Objective

The primary business objective was to gain improved visibility into the Incident Management case journey for customer support, a deeper understanding of the various routes to completion, and an assessment of the effectiveness of existing applications. This involved determining time allocations within the Case Management, Knowledge Base, and Log Analysis stages to enhance process efficiency.  
  
Additionally, efforts were made to differentiate between connected and disconnected systems to pinpoint optimization opportunities and reduce processing time through automation. These initiatives aimed to streamline operations and enhance overall efficiency within the Incident Management framework.

## Solution

Skan AI provided detailed insights to address the client's operational challenges. First, Skan AI delivered insights to optimize time and effort by analyzing processing time between systems, conducting cost analysis, improving capacity utilization, and boosting productivity.  
  
Additionally, Skan AI compared geographies, analyzed first pass rates, and pinpointed opportunities to reduce rework, further enhancing productivity. The platform also identified automation opportunities to streamline processes and cut processing time.  
  
Finally, Skan AI recommended process standardization to achieve cost savings. Together, these multifaceted insights aimed to drive operational efficiency and deliver tangible improvements across the client's workflow.

## Outcome

The outcomes resulting from Skan AI's insights were significant and impactful. Through standardization and automation initiatives, the client stands to realize an estimated potential savings of $2 billion over multiple years. The major driver of these savings is a 50% reduction in average case processing time, demonstrating substantial efficiency gains.  
  
Skan AI's insights also paved the way for increasing the number of connected systems from 10% to a minimum of 25%, enabling the client to achieve significant cost savings. Additionally, recommendations to automate repeatable activities resulted in a reduction in processing time, contributing to a 20% decrease in average processing time per case. These outcomes collectively signify a transformative shift in operational efficiency, positioning the client for sustained success and financial growth.

Industry

[Technology](/case-studies/industries/technology)

Company Size

100,000+

Revenue

$90B+

Location

United States

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