Global Capability Centers (GCCs) are evolving into strategic hubs that drive innovation, digital transformation, and enterprise-wide value creation. By 2030, GCCs will play a critical role in enabling agile operations, advanced technologies, and global talent strategies to support business growth.
- The shift from cost-focused GCCs to strategic transformation and innovation centers
- AI, automation, and data analytics shaping next-generation GCC operations
- Building future-ready talent and leadership capabilities within GCC ecosystems
- New operating models and governance for stronger global business alignment
- Strengthening resilience, scalability, and business impact across enterprise functions
As GCCs and Shared Services move beyond basic automation, organizations are now focusing on creating measurable business value through hyperautomation. By integrating AI, advanced analytics, and intelligent workflows, the next phase will drive faster decision-making, improved efficiency, and strategic impact across the enterprise.
- Moving from task automation to end-to-end intelligent process transformation
- The role of AI, machine learning, and intelligent automation in value creation
- Linking automation initiatives to business outcomes and ROI
- Building integrated digital ecosystems across functions and geographies
- Talent transformation: Upskilling teams for automation-led operating models
A data-centric strategy uses classification and encryption to protect data wherever it moves. Outsourcing helps organizations concentrate on core business but exposes them to risks. Data Management is a major concern for companies that depend on outsourced services.
- Managing data security for the outsourcing models
- Need for adopting a risk-based security model
- Learn how to manage data security concerns while outsourcing
- Closely assess solutions deployed by managed service providers
- Support outsourcing without compromising security, compliance or privacy
Explore how GCCs and Shared Services can use data, AI and machine learning to improve decision-making and drive enterprise value.
- Building strong data foundations to enable AI-driven decision-making across functions
- Use cases of AI & ML in finance, HR, IT, customer operations, and supply chain
- Moving from descriptive analytics to predictive and prescriptive insights
- Integrating AI into end-to-end workflows for smarter and automated operations
- Talent, governance, and ethical frameworks for scaling AI across GCCs and Shared Services
The full session details and discussion points continue here.
- Building strong data foundations to enable AI-driven decision-making across functions
- Use cases of AI & ML in finance, HR, IT, customer operations, and supply chain
- Moving from descriptive analytics to predictive and prescriptive insights
- Integrating AI into end-to-end workflows for smarter and automated operations
- Talent, governance, and ethical frameworks for scaling AI across GCCs and Shared Services
Explore leadership, operating models, talent, technology and value creation across global capability centers.
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