India’s GCC finance hubs face their next big test: Intercompany complexity

By Nikhil Parambath, RVP Asia, BlackLine

India’s Global Capability Centres (GCCs) have already proven they can scale. With 2,117 GCCs, 2.36 million professionals, and a market worth USD 98.4 billion, the country’s GCC ecosystem is no longer defined by size alone.

Over 1,200 Indian centres already use AI and machine learning. But the real shift is moving from managing human teams to governing a network of AI agents that will soon outnumber employees. Controlling this scale before it turns into chaos is critical. Only then can GCCs successfully take on the complex, highly visible finance work global leadership now demands.

This shift matters because GCCs are no longer expected to function as delivery engines alone. They are increasingly being trusted with end-to-end ownership across entities – which puts new pressure on finance leaders to protect the integrity of financial data, reporting, and control.

In such an environment, intercompany is no longer a routine back-office task. It is one of the clearest tests of whether a GCC is ready to operate as a true finance hub.

Intercompany is where scale gets tested
Intercompany accounting remains one of finance’s most demanding processes, sitting at the intersection of jurisdictions, currencies, transfer pricing rules, entity structures, and different ERP systems. This means even small process gaps can quickly turn into larger reporting issues.

Many GCC-supported organisations still operate across multi-ERP, multi-entity finance environments, with fragmented processes and spreadsheet dependencies that slow standardisation and limit visibility.

The challenge is not simply the volume of transactions. The deeper issue is the absence of a consistent control layer that can govern activity across entities, systems and processes.

When that financial control layer is missing, organisations end up with multiple versions of financial truth, and less confidence in the integrity of their numbers. Teams are left reconciling differences after the fact rather than preventing them in the first place.

For GCCs, this creates a serious problem. Intercompany is no longer hidden at the edges of the close; it now affects reporting accuracy, audit outcomes, and the speed at which finance leaders can stand behind the numbers.

From reconciliation to continuous control
The bigger change is structural. Finance is moving from periodic reconciliation effort to continuous control. Intercompany discrepancies can be identified earlier, addressed in real time, and managed within a unified operating model instead of being discovered only when pressure is highest at period-end. For GCCs, this means less firefighting, stronger accountability, and a clearer view of performance across entities.

This is what will separate the next generation of GCC finance hubs from the rest. The organisations that stand out will not be the ones that process the most transactions, but those that manage complexity with clarity and control.

Why automation needs a glass box: Agentic Financial Operations
This is where Agentic Financial Operations comes into the picture. For GCC finance leaders, it offers a practical way to manage intercompany complexity within governed workflows instead of manual reconciliation and follow-ups.

Agentic Financial Operations changes the model by embedding AI within governed, policy-driven finance workflows, where every action remains auditable, explainable, and aligned to financial controls. The point is not to automate blindly. It is to make automation more reliable, consistent and defensible, especially in processes where trust matters as much as efficiency.

This is why the glass box principle matters. Finance does not just need faster execution; it also needs confidence, visibility, and the ability to prove why a decision was made. In a glass box approach, every action is visible, every adjustment is traceable, and every decision can be explained. Every match, adjustment, and exception should be traceable back to a rule, an approval, or a data point. This level of transparency is what makes automation and AI credible, governable, and trustworthy in finance.

This visibility becomes even more important as finance teams adopt AI at scale. Finance leaders must have the ability to monitor AI-driven activity, policy adherence, exceptions, and audit-ready records without compromising governance or control.

Crucially, human oversight remains essential. Agentic Financial Operations is not about removing finance teams from the process, but about allowing them to govern outcomes rather than spend time on repetitive work. When workflows are standardised and visible, teams can focus on the exceptions that require judgment, while routine activity is handled continuously within a controlled framework. This creates greater operational visibility and helps finance move closer to continuous financial control.

The Future-Ready GCC Finance Hub
Intercompany governance is becoming a defining capability because it reveals whether a finance centre can truly operate at global scale. With Agentic Financial Operations and a glass box approach, GCCs have a path to become trusted finance hubs that deliver not just efficiency, but reliability, transparency, and ownership. More importantly, they can establish continuous financial control and operational visibility across entities, creating confidence for growth at scale.