How to design a GCC that can use AI responsibly as its role in the enterprise grows? As GCCs move from technology delivery to AI development, enterprise data, automation and IP creation, governance becomes part of the operating model itself.

• Who can access what data?
• Who makes the decisions?
• When does human intervention become necessary?
• And who is accountable when AI makes a consequential decision?

These questions are difficult to answer after the GCC, technology and processes are already in place. Hence governance needs to start with GCC design.

AI governance cannot sit outside the GCC. It needs to be built in it.

We help enterprises designing and scaling their India GCCs think through governance alongside the operating model. From decision rights and accountability to data access, human oversight and regulatory responsibility, our latest perspective explores what this means for enterprises building and scaling an AI-enabled GCC in India.

Our GCC 4.0 architecture connects these governance considerations with the GCC’s evolving mandate, capabilities and value creation.