Technology company with social impact and innovation
Technology Brilliance

Capability: Data & AI

Introduction

Following a large-scale merger, a global media organization faced increasing pressure to improve cash flow visibility and financial efficiency. While revenues remained stable, poor working capital management limited liquidity and reduced the organization’s ability to reinvest and respond to market dynamics.

The challenge was not growth; it was unlocking trapped cash within existing operations.

Customer

A multinational media enterprise undergoing post-merger integration, dealing with fragmented financial processes and inconsistent cash management practices across business units.

Business Objective

  • Improve cash conversion cycle and free cash flow visibility
  • Identify and unlock working capital trapped in operations
  • Standardize financial processes across merged entities
  • Strengthen control over receivables and payables

Scope of Services

Working Capital Diagnostic

Conducted a structured assessment of accounts receivable and payable processes, identifying inefficiencies across the cash cycle.

Process Deep-Dive (Order-to-Cash & Procure-to-Pay)

Analyzed end-to-end financial workflows to uncover delays in collections and inefficiencies in vendor payment structures.

Opportunity Identification & Prioritization

Identified multiple high-impact levers to improve liquidity, including customer payment delays and suboptimal vendor terms.

Financial Visibility Framework

Designed a centralized tracking and reporting mechanism to monitor working capital performance across business units.

Transformation Roadmap & Governance

Established a structured execution plan supported by a program management office (PMO) to drive adoption and ensure accountability.

Key Challenges Addressed

  • Lack of visibility into real-time cash flow performance
  • Delayed customer payments impacting liquidity
  • Vendor payment terms below industry benchmarks
  • Fragmented financial processes post-merger
  • Absence of standardized working capital governance

Benefits

Improved Cash Visibility

Enabled leadership to track free cash flow and working capital performance in real time

Optimized Financial Processes

Standardized receivables and payables management across business units

Stronger Vendor & Customer Management

Improved control over payment cycles and contractual terms

Structured Financial Governance

Introduced accountability through centralized monitoring and execution frameworks

Impact

  • Identified opportunities to unlock $800M+ in cash benefits within two months
  • Improved cash conversion cycle across business units
  • Reduced delays in receivables and optimized payables structure
  • Strengthened financial control in a post-merger environment

Introduction

Telecom ESG transformation is becoming critical as operators face increasing pressure to reduce carbon emissions, optimize energy consumption, and align with sustainability regulations. A leading European telecom operator undertook a large-scale ESG transformation to build a future-ready, sustainable business model while maintaining operational efficiency.

Customer

A leading European telecom operator providing connectivity and digital services across global markets, managing large-scale network infrastructure with high energy consumption and strict regulatory requirements around sustainability.

Business Objective

  • Achieve net-zero emission targets
  • Reduce energy consumption across network infrastructure
  • Align operations with ESG regulations
  • Enable sustainable growth without impacting service quality

Scope of Services

  • ESG strategy design and roadmap development
  • Energy optimization across telecom infrastructure
  • Data-driven monitoring of emissions and energy usage
  • Integration of sustainability metrics into operations
  • Governance model for ESG tracking and reporting

Key Challenges Addressed

  • High energy consumption across telecom networks
  • Lack of real-time visibility into emissions
  • Regulatory pressure for sustainability compliance
  • Balancing cost optimization with ESG goals

Benefits

  • Improved energy efficiency across operations
  • Better visibility into sustainability metrics
  • Reduced environmental impact
  • Alignment with global ESG standards

Impact

  • 45% emission reduction target achieved
  • Strong progress toward net-zero goals
  • Improved operational efficiency alongside sustainability
  • Enhanced brand positioning as a sustainable telecom provider

Introduction

Telecom operations transformation is essential for operators dealing with rising costs, fragmented processes, and increasing customer expectations. A leading Asia-Pacific telecom operator transformed its operations to improve efficiency, reduce costs, and enable scalable service delivery.

Customer

A leading Asia-Pacific telecom operator offering mobile, broadband, and digital media services, operating across multiple markets with complex service delivery models and high operational costs.

Business Objective

  • Reduce operational costs
  • Improve workforce productivity
  • Standardize processes across operations
  • Enhance service delivery efficiency

Scope of Services

  • End-to-end operations assessment
  • Workforce and process optimization
  • Implementation of standardized operating model
  • Performance tracking and KPI alignment
  • Automation-led process improvements

Key Challenges Addressed

  • High operational costs
  • Inefficient workforce utilization
  • Fragmented processes across business units
  • Lack of standardized KPIs

Benefits of Telecom Operations Transformation

  • Streamlined operations across departments
  • Improved workforce efficiency
  • Better cost control and visibility
  • Enhanced service delivery performance

Impact

  • 70% productivity improvement
  • 15% cost reduction achieved
  • Faster decision-making and execution
  • Scalable operating model for growth

Introduction

Product portfolio transformation is critical for global software companies managing multiple acquired products and fragmented offerings. Disconnected product lines often lead to inconsistent customer experiences, slower innovation cycles, and missed revenue opportunities. This case study highlights how a global software product company restructured its portfolio, modernized products with cloud-native and AI capabilities, and established a scalable innovation model. By aligning product strategy with customer needs and market opportunities, the organization improved monetization, accelerated releases, and strengthened its competitive positioning.

Customer

A global software product company with multiple acquired products, operating across diverse geographies and customer segments.

Business Objective

  • Consolidate and rationalize fragmented product portfolio
  • Monetize existing IP and software assets
  • Accelerate product innovation and time-to-market
  • Improve customer retention and engagement
  • Enable scalable product engineering and delivery

Scope of Services

  • IP acquisition and portfolio restructuring
  • Product modernization using cloud-native architectures
  • Infusion of AI/ML capabilities into product offerings
  • Product roadmap definition and execution
  • Customer success and lifecycle enablement
  • Channel and partner ecosystem enablement
  • API and integration framework standardization

Benefits

  • Increased monetization of existing product assets
  • Expanded solution portfolio and revenue streams
  • Improved customer retention and renewal rates
  • Faster innovation cycles and release velocity
  • Scalable product engineering and delivery model

Impact

  • Clear and scalable product roadmap established
  • Improved customer engagement and retention
  • Faster time-to-market for new product releases
  • Stronger cross-sell and up-sell capabilities
  • Sustainable innovation and engineering foundation

Introduction

Global operating model transformation enables enterprises to standardize processes, improve governance, and reduce operational costs across complex, multi-region environments. Organizations operating in regulated industries often face fragmented processes, inconsistent compliance practices, and high run-the-business (RTB) costs. This case study highlights how a global enterprise transformed its IT and operations landscape by implementing a standardized, automation-led operating model. By combining AI-driven automation, process rationalization, and strong governance frameworks, the organization achieved scalable efficiency, compliance excellence, and financial optimization.

Customer

A global enterprise operating across multiple regions with a complex IT and operations landscape and strict regulatory and compliance requirements.

Business Objective

  • Transform global operating model across IT and operations
  • Standardize processes across portfolios and geographies
  • Improve operational efficiency and governance
  • Reduce RTB costs at scale
  • Strengthen audit and compliance posture

Scope of Services

  • Global IT and operations delivery transformation
  • Process standardization and SOP rationalization
  • Setup of Automation Center of Excellence (CoE)
  • Implementation of AI-driven operational automation
  • Risk, audit, and compliance governance frameworks
  • Global delivery hub and proximity support enablement

Benefits

  • Enterprise-wide standardized processes
  • Strong and consistent compliance posture
  • Improved agility and faster transformation cycles
  • Predictable and scalable operating model
  • Reduced dependency on external vendors

Impact

  • Reduction from 395 SOPs to 25 standardized processes
  • 100% green audit compliance sustained over multiple years
  • Zero upfront financial commitment for transformation
  • Multi-market automation rollout across regions
  • Improved operational consistency and governance

Introduction

Cloud transformation is critical for cold chain logistics providers where infrastructure reliability directly impacts time-sensitive supply chains such as food and pharmaceuticals. Legacy data centers often limit scalability, increase operational risk, and hinder responsiveness to dynamic demand. This case study highlights how a global cold chain logistics provider adopted a cloud-first strategy to modernize its infrastructure. By leveraging hybrid cloud architecture and automation-driven migration, the organization improved resilience, ensured near-zero disruption, and created a scalable foundation for future digital operations.

Customer

A global cold chain logistics provider supporting temperature-controlled logistics, warehousing, and distribution for food and pharmaceutical supply chains.

Business Objective

  • Enable a cloud-first IT strategy
  • Improve infrastructure resilience and scalability
  • Reduce dependency on legacy data centers
  • Ensure zero disruption to critical operations
  • Support future digital and operational growth

Scope of Services

  • Migration of production and DR workloads to Microsoft Azure
  • Implementation of hybrid cloud operating model (MCOD)
  • Extension of cloud infrastructure across EMEA and APAC regions
  • Data center consolidation and migration
  • Infrastructure automation and digital twin modeling
  • Testing, deployment, and stabilization of cloud environments

Benefits

  • Improved infrastructure reliability and resilience
  • Faster response to operational and business needs
  • Standardized global infrastructure operations
  • Reduced operational risk for time-sensitive logistics
  • Scalable foundation for digital transformation

Impact

  • 70% of workloads migrated to Azure
  • 97% virtualization achieved
  • Near-zero downtime during migration
  • Near-zero data loss across systems
  • Improved operational continuity across global operations

Introduction

Digital experience transformation is redefining how public transportation authorities engage with citizens and travelers. Modern mobility ecosystems require seamless, intuitive, and accessible experiences across airports, transit hubs, and digital platforms. Traditional infrastructure-focused approaches often fail to meet evolving expectations of convenience, personalization, and inclusivity. This case study highlights how a regional transportation authority transformed its ecosystem by integrating human-centered design, immersive technologies, and digital innovation. By leveraging AR/VR, mobile platforms, and multi-cloud infrastructure, the organization created future-ready transportation experiences while optimizing costs and accelerating innovation.

Customer

A leading Australian regional transportation authority responsible for managing metropolitan transport infrastructure, including airports, train stations, and multimodal transit systems.

Business Objective

  • Design future-ready transportation assets aligned with long-term mobility vision
  • Deliver accessible and world-class traveler experiences
  • Position transport infrastructure as experience-driven destinations
  • Reduce total cost of ownership through outsourcing and cloud adoption
  • Accelerate innovation through incubation and digital experimentation

Scope of Services

  • Human-centered design for airport and transit experiences
  • Development of citizen-facing mobile applications
  • AR/VR-based experience prototyping and visualization
  • Strategic outsourcing of applications and infrastructure
  • Multi-cloud enablement and migration
  • Innovation incubation through rapid prototyping and validation

Benefits

  • Improved citizen and traveler engagement
  • Enhanced accessibility and inclusivity across services
  • Reduced long-term IT and operational costs
  • Faster innovation cycles through incubation approach
  • Scalable and flexible digital infrastructure

Impact

  • Delivery of immersive AR/VR-based experience designs
  • Enablement of next-generation traveler experiences
  • Foundation for scalable and future-ready transport systems
  • Strengthened positioning of transport infrastructure as destinations

Introduction

Digital logistics platform transformation enables enterprises to modernize legacy systems, reduce operational costs, and improve visibility across complex supply chain operations. Large logistics organizations often struggle with fragmented application landscapes, high run-the-business (RTB) costs, and limited end-to-end shipment visibility. This case study highlights how a global logistics company transformed its operations by building a next-generation digital logistics platform. By rationalizing legacy systems, standardizing processes, and integrating application and infrastructure support, the organization achieved significant cost savings, improved efficiency, and enhanced revenue realization.

Customer

A global supply chain services and logistics company headquartered in the United States, managing enterprise-scale freight forwarding operations and a large application ecosystem.

Business Objective

  • Reduce RTB costs across IT and operations
  • Improve end-to-end shipment visibility
  • Standardize and re-engineer business processes
  • Reduce incident volumes and support dependency
  • Establish integrated SLAs and KPIs across operations

Scope of Services

  • Transformation of core freight forwarding systems
  • Design and development of a next-generation digital platform
  • Rationalization of 170+ legacy applications
  • Creation of a unified enterprise data layer (single source of truth)
  • Application support services across 115 applications and 25 technologies
  • Infrastructure support and enterprise help desk operations
  • Stabilization and automation of support processes
  • SLA and KPI definition and implementation

Benefits

  • Significant reduction in RTB costs
  • Faster customer onboarding through standardized workflows
  • Improved shipment visibility across logistics operations
  • Reduced complexity through platform consolidation
  • Enhanced IT service reliability and predictability

Impact

  • $100M reduction in RTB costs
  • 60% reduction in customer onboarding time
  • 11% increase in revenue realization
  • 20%+ reduction in ticket volumes
  • Improved operational efficiency across applications and infrastructure

Introduction

Enterprise BI governance is essential for organizations scaling analytics adoption while maintaining control, security, and cost efficiency. Large enterprises often face fragmented BI ecosystems, duplicate datasets, and lack of standardized reporting practices. This case study highlights how a leading freight rail transportation company established a structured Power BI governance model to enable enterprise-wide adoption. By implementing standardized data models, governance frameworks, and usage monitoring, the organization achieved scalable, secure, and cost-efficient analytics across business functions.

Customer

CSX Transportation, one of the largest freight rail transportation companies in North America, with enterprise-scale analytics and reporting users across multiple business units.

Business Objective

  • Enable controlled and scalable enterprise-wide Power BI adoption
  • Rationalize and migrate legacy BI assets
  • Establish governance for secure self-service analytics
  • Optimize platform usage and reduce BI total cost of ownership
  • Improve consistency and reliability of reporting

Scope of Services

  • Design and setup of Power BI Governance COE
  • Definition of standards, policies, and governance procedures
  • Role-based responsibility model for BI ownership
  • Semantic modeling guidelines and certified dataset framework
  • Governance processes for report lifecycle management
  • Usage monitoring and capacity planning framework
  • Workspace management, audit, and compliance enablement
  • Execution roadmap for enterprise rollout

Benefits

  • Structured and secure adoption of Power BI
  • Improved self-service BI with governance control
  • Reduced duplication of reports and datasets
  • Better visibility into platform usage and performance
  • Optimized software and operational costs

Impact

  • Standardized semantic models and certified datasets
  • Improved BI adoption through governed self-service
  • Optimized Power BI capacity utilization
  • Centralized workspace governance with audit readiness
  • Clear accountability model for BI ownership

Introduction

Global IT operations standardization enables logistics enterprises to eliminate fragmented processes and build scalable, automation-led delivery models. Transport and vehicle logistics companies operating across multiple countries often face inconsistent workflows, duplicated efforts, and limited coordination across regions. This case study highlights how a leading European transport and vehicle logistics company transformed its operations by implementing a globally integrated, automation-driven model. By standardizing processes and leveraging AI-driven monitoring and automation, the organization improved efficiency, reduced operational noise, and enhanced financial productivity.

Customer

A leading European transport and vehicle logistics company operating across multiple countries with globally distributed teams and support functions.

Business Objective

  • Eliminate ad-hoc and non-standardized operational processes
  • Drive automation-led transformation across applications and infrastructure
  • Enable a globally integrated operating model
  • Improve financial productivity through industrialized operations
  • Enhance coordination across regions and delivery units

Scope of Services

  • Application development, AMS, and infrastructure support
  • Management of 55+ enterprise applications
  • Multi-language EUC support across regions
  • Global integrated operations and automation delivery model
  • Proximity support across 13 countries
  • NOC and SOC operations implementation
  • Auto-ticketing and event-driven monitoring
  • AI/ML-based automation and incident optimization

Benefits

  • Standardized and consistent global operations
  • Reduced operational overhead through automation
  • Faster incident detection and resolution
  • Improved cross-region coordination
  • Better utilization of IT and support resources

Impact

  • Integrated infrastructure and applications delivery model leveraging synergies
  • MOM layer integrated with monitoring tools and AI-driven automation
  • Measurable financial productivity through automation industrialization
  • Reduced duplicate tickets and improved operational efficiency
  • Scalable global operations model supporting business growth