Atkins Saves 45% in Operating Costs With Cloud Migration

Construction-Business

45%

Reduction in operating costs through migrated infrastructure

30%

Performance improvement in Oracle EBS workloads

0

Defects at go-live of the upgraded EBS system

Client Overview

Atkins is a global specialist firm offering engineering, design, planning, project management, and consulting services in over 50 countries. Facing costly and rigid legacy on-premises systems, it sought a modern, scalable infrastructure to support growth, performance, and resiliency.

The Challenge

Construction Business

High-Cost Legacy Infrastructure Hampering Growth

Atkins dealt with outdated on-premises applications, heavily customized processes, and expensive data center operations. These factors increased IT overhead, reduced agility, and created risk around disaster recovery and performance for mission-critical workloads. The goal was to modernize, reduce costs, improve performance, and ensure system reliability.

Sutherland Solution

Strategic Cloud Migration with Automation and Modernization Tools

Sutherland evaluated Atkins’ full IT landscape to build a tailored roadmap, including:

  • Upgrading and modernizing the Oracle EBS infrastructure.
  • Migrating workloads to Oracle Cloud for scalability, resilience, and efficiency.
  • Deploying the RingMaster Platform to automate retrofit testing of CEMLI (Configuration, Extension, Modification, Localization, Integration), enabling timely upgrades with zero defects.
  • Implementing robust disaster recovery policies (24-hour recovery), along with automated monitoring, enhanced reporting, and search capabilities.

The Outcome

Construction Business

Measurable Gains in Cost, Performance, and Reliability

As a result of cloud migration, Atkins achieved a 45% reduction in operating costs, saw 30% improvement in Oracle EBS performance, and went live with zero defects for the upgraded system. Infrastructure modernization and automation also improved their agility, reliability, and capacity for scaling workloads with minimized risk.