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CASE STUDY

MANUFACTURING TRANSFORMATION

80% Cost Reduction Through AI-Driven Cloud Governance

Executive Summary

Client: GlobalTech Manufacturing Corporation
Industry: Advanced Manufacturing & Industrial IoT
Challenge: Complex multi-cloud governance across 47 facilities in 12 countries
Solution: PolicyCortex AI-driven cloud governance platform

Key Results

78%
Compliance overhead reduction
$3.2M
Annual cost savings
99.7%
Uptime achievement

Company Background

GlobalTech Manufacturing Corporation, a Fortune 500 industrial manufacturer with operations spanning North America, Europe, and Asia-Pacific, faced unprecedented challenges in managing cloud governance across their distributed manufacturing ecosystem. With over 47 manufacturing facilities operating across 12 countries, each with unique regulatory requirements and operational constraints, the company struggled to maintain consistent security policies, ensure regulatory compliance, and optimize cloud costs across their multi-cloud infrastructure.

Infrastructure Scale

2,400+
Cloud Resources
47
Manufacturing Facilities
15,000
IoT Sensors
2.3TB
Daily Data Volume

The company's digital transformation journey began in earnest in 2019, driven by the need to modernize legacy systems, improve operational efficiency, and maintain competitive advantage in an increasingly digital marketplace. However, this transformation introduced significant complexity in cloud governance, particularly as the company adopted a multi-cloud strategy to leverage best-of-breed services from Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

Technical Architecture Challenges

Multi-Cloud Complexity

  • • 340+ virtual machines across AWS, Azure, and GCP
  • • 180 containerized applications
  • • 95 databases with varying compliance requirements
  • • 67 storage systems across multiple regions

Governance Issues

  • • Inconsistent security policies across facilities
  • • Fragmented compliance monitoring
  • • Escalating costs due to resource sprawl
  • • Limited visibility across multi-cloud environment

Regulatory Complexity

  • • ISO 27001 and SOC 2 compliance requirements
  • • GDPR compliance for European facilities
  • • FDA requirements for medical device manufacturing
  • • Various regional regulatory frameworks

Operational Impact

  • • 60% of compliance team time spent on manual reporting
  • • Over-privileged accounts and access sprawl
  • • Difficulty tracking costs by business unit
  • • Inconsistent resource tagging and allocation

PolicyCortex Implementation

The implementation of PolicyCortex at GlobalTech Manufacturing Corporation followed a carefully orchestrated phased approach designed to minimize operational disruption while maximizing the benefits of AI-driven cloud governance. The implementation strategy was developed collaboratively between AeoliTech's technical team and GlobalTech's IT leadership.

1

Foundation Phase

  • • Complete infrastructure discovery
  • • Unified policy management setup
  • • Centralized visibility dashboards
  • • Resource inventory and tagging
2

Integration Phase

  • • AI-driven policy enforcement
  • • Automated compliance monitoring
  • • Cost optimization algorithms
  • • Security posture assessment
3

Optimization Phase

  • • Predictive analytics implementation
  • • Advanced automation workflows
  • • Continuous improvement processes
  • • Performance optimization

Results and Business Impact

Quantifiable Results

Compliance Overhead Reduction78%
Annual Cost Savings$3.2M
System Uptime Achievement99.7%
Audit Preparation Time Reduction85%

Operational Improvements

Automated policy enforcement across all 47 facilities
Real-time compliance monitoring and alerting
Unified visibility across multi-cloud infrastructure
Predictive cost optimization recommendations
Automated security posture assessment
Streamlined audit and compliance reporting

Ready to Transform Your Manufacturing Operations?

Discover how PolicyCortex can deliver similar results for your organization with AI-driven cloud governance that scales across global operations.