Customer

A Fortune 500 enterprise and the world’s largest producer of potash and phosphate fertilizer.

Business Objective

  • Provide a scalable skilled resource pool.
  • Establish an innovation delivery model leveraging DevOps, automated testing, and continuous improvement.
  • Leverage evolving technologies including RPA, AI, IoT.
  • Strengthen Data & Analytics capabilities.
  • Drive Tool Rationalization across the IT landscape.
  • Enable Application and Infrastructure Modernization to support future-ready operations.

Scope of Services

The services were delivered across both applications and core IT infrastructure.

Application Services

  • Managing 169 applications (Key Apps: SAP, Salesforce, Power BI, Maximo, Azure).
  • Application support, maintenance, and minor changes.
  • Quality Assurance for major development and project requirements.

Infrastructure Services

  • 24/7 Service Desk for L1 & L1.5 support in four languages: English, Brazilian, Portuguese, and Spanish.
  • Server and storage support, data center management, cloud operations administration (IaaS), VDI, middleware, database administration, EUC/workplace services.
  • Managed network services, service desk services and user administration, disaster recovery, and cybersecurity operations.

Benefits

  • Integrated operational model delivering agility, productivity, and scalability.
  • Business-aligned SmartOps enabling self-service, self-healing, and auto-healing.
  • Unified Operations Centre consolidating Service Desk L1/L1.5 and tools.
  • Enterprise-wide DevOps rollout supported by standardized tools, frameworks, and accelerators.
  • SEED team driving comprehensive digital transformation including blockchain, supply chain optimization, scaling AIoT, and customer experience enhancements.
  • Technology-led Industry 4.0 transformation for business processes.
  • Legacy-to-Cloud migration, SAP S/4HANA, and SAP mobility for mining workers.
  • Application modernization using Low-Code/No-Code tech stack.
  • Data analytics transformation enabling AI scaling and advanced data science capabilities.

Impact

  • 45% ticket reduction through automation.
  • Up to 70% reduction in equipment breakdowns.
  • ~43% YoY cost optimization over 5 years.
  • >95% process and system uptime.
  • 70% improvement in utilization across 3 years.