US Engineering Software Leader Optimizes Multi-Cloud with Automation and FinOps

About Client

A leading US-based multinational software company that provides technology solutions and services to the architecture, engineering, construction, manufacturing, media, education, and entertainment industries. The organization operates a large-scale multi-cloud environment across AWS and Azure, supporting thousands of workloads spanning development, testing, and production environments. 

Key Challenge

The client's rapidly expanding cloud footprint had resulted in significant operational and financial complexities. Managing over 2,500 AWS accounts and 650 Azure subscriptions created fragmented visibility, inconsistent governance, and limited control across the cloud estate. Rising cloud costs, missed optimization opportunities, manual processes, and siloed operations reduced efficiency and hindered the organization's ability to maximize cloud investments. Teams also struggled with false-positive alerts, delayed issue resolution, and inadequate accountability for cost optimization initiatives. 

Solution

Microland implemented a FinOps-led Cloud Cost Management program powered by its Cloud Cost Management Framework (CCMF) and the AI-driven intelligeni platform. The solution established end-to-end visibility into cloud consumption and introduced financial governance, automation, and operational intelligence across the client's AWS and Azure environments. 

Key solution components included:

• Advanced cloud cost optimization through rightsizing, reserved instance planning, idle resource management, and ML-based anomaly detection.
• Deployment of more than 50 intelligent automation bots to automate remediation and reduce manual intervention. 
• 24x7 unified cloud operations management for over 2,000 AWS and Azure servers using GitOps and DevOps practices. 
• Integration with ServiceNow for automated ticketing, centralized reporting, workflow orchestration, and operational visibility.
• Continuous governance and policy-driven controls to reduce alert noise, improve compliance, and drive ongoing optimization. 

Business Value Delivered

• 38% reduction in cloud costs across targeted AWS accounts, releasing significant IT budget for strategic initiatives.
• 20% increase in auto-resolution rates through intelligent automation and service bots.
• 20% reduction in Mean Time to Resolution (MTTR), enabling faster issue remediation and reduced business disruption.
• 95% SLA compliance, improving operational reliability and user experience.
• Enhanced governance, visibility, and control across thousands of cloud workloads.
• Improved resource utilization through automated optimization, policy enforcement, and continuous monitoring.