Mainstream Renewable Power Achieves Global Operational Efficiency and Sustainability
Mainstream Renewable Power, a global wind and solar energy company, embarked on a major digital transformation to support rapid global growth and sustainability goals. The company, in partnership with DXC and Microsoft, re-architected its technology platform for a full transition to Microsoft Azure and cloud services, replacing on-premises infrastructure. This transformation included implementing Microsoft Dynamics 365 for Finance and Operations, automating user acceptance testing and onboarding processes with Robotic Process Automation (RPA). Power Platform solutions were introduced to address emerging business needs, such as project onboarding and remote work facilitation. The company decommissioned its data center, significantly reducing its IT carbon footprint and lowering infrastructure costs. The innovations enabled Mainstream to manage tripled headcount without increasing IT support staff, and improve project agility and operational risk management. Savings included direct annual infrastructure cost reductions exceeding $180,000 and avoided investment costs over $250,000. RPA and AI were further integrated to simplify testing, reduce business disruption and streamline upgrades. The ongoing partnership continues to roll out automation, including chatbots for user support and Power Apps for process management during remote work transitions.
- Organization
- Mainstream Renewable Power
- Industry
- Energy & Utilities
- Location
- Ireland
- Published
- April 2025
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Mainstream Renewable Power
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- dxc.com
The innovations enabled Mainstream to manage tripled headcount without increasing IT support staff, and improve project agility and operational risk management
Primary read
Use case focus
Showing 3 of 4
- 1Automated Project Onboarding for Global Renewable Energy Projects
- 2Cloud-Based Financial Management for Multinational Operations
- 3Automated User Acceptance Testing using RPA
- Needed to scale global renewable energy projects quickly and efficiently.
- Legacy on-premises IT infrastructure was costly and environmentally unsustainable.
- Complex onboarding for new renewable energy projects across 13+ countries.
- Required automation for user acceptance testing and ongoing business process adaptation.
- Must meet varying local regulatory and compliance requirements for each new legal entity.
- Migrated all IT infrastructure to Microsoft Azure, building a cloud-first enterprise.
- Implemented Microsoft Dynamics 365 for Finance and Operations for unified business process management across the group.
- Deployed Robotic Process Automation (RPA) to automate user testing, onboarding, and business workflows.
- Adopted Power Platform for rapid development of apps, process automation, and COVID-safe workplace management.
- Partnered with DXC for architecture, technical implementation, and continuous automation innovation.
- Reduced IT infrastructure costs by over €150,000 ($180,000) per year.
- Avoided additional €212,000 ($259,000) spend on infrastructure replacement.
- Enabled tripling of company headcount without IT support team growth.
- Accelerated project onboarding and regulatory compliance across 13 countries.
- Significantly reduced carbon footprint through cloud-only transformation.
Architecture
Mainstream transitioned all IT infrastructure from on-premises to Microsoft Azure cloud. Microsoft Dynamics 365 for Finance and Operations became the enterprise business management system. Robotic Process Automation (RPA) was layered to automate user acceptance testing and operational workflows. Power Platform apps were deployed for rapid process automation. Data center operations were decommissioned, and all historic data was migrated to Azure, with DXC leading the end-to-end architecture and change process.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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