The global BFSI sector is undergoing a tectonic shift, fueled by digital disruption, heightened regulatory pressure, and rising demand for hyper-personalized services. In response, industry leaders are transforming their Global Capability Centers (GCCs) - evolving from traditional delivery units into AI-native engines of innovation.

According to NASSCOM (2023):

5 Must-Have Ingredients for a Next-Gen, AI-Led BFSI GCC

To lead in this new era, BFSI GCCs must be built on a foundation of regulatory depth, AI integration, agile delivery, and resilient infrastructure. Here’s what defines a next-generation, AI-powered BFSI GCC:

1. Domain-Led Regulatory & Risk Alignment

BFSI organizations operate in highly regulated environments. Leading GCCs are taking on end-to-end ownership of compliance and risk functions. AI is enabling proactive risk flagging, automated documentation, and rapid adaptation to evolving mandates like GDPR, PCI-DSS, India’s DPDP Act, and ESG frameworks.

• 75% of BFSI GCCs now manage risk and compliance as core functions, up from 52% in 2019
• 76% of India-based GCCs handle cross-border tax functions, , underscoring their strategic importance.

Deloitte, 2023

2. AI-First Core Operations

AI is redefining how banks and insurers operate - from fraud detection and credit decisioning to hyper-personalized CX. GCCs that embed AI from the outset gain faster time-to-value and operational agility.

• AI could contribute $1 trillion annually to global BFSI operations.
• Generative AI is projected to unlock $2.6–$4.4 trillion in global economic value — with BFSI among the top sectors.
• In banking alone, Generative AI could add $200–$340 billion annually, equating to 2.8–4.7% of total revenue.

McKinsey, 2023

3. Rapid, BFSI-Ready Talent Strategy

The demand for AI-skilled, domain-specific professionals is surging, but hiring cycles remain long. GCCs that adopt strategic team augmentation, blending in-house domain experts with pre-trained AI/ML teams, can accelerate delivery while protecting IP.

• Over 360,000 professionals are employed across nearly 400 BFSI GCCs in India - 23% of the total GCC workforce. Yet AI talent remains scarce.
• Hiring a BFSI data scientist takes 54+ days on average - compared to 2–4 weeks using pre-configured GCC AI teams.
• BFSI GCC revenues in India grew from $13.4B to $20.8B between 2020 and 2023 (CAGR: 16%).

NASSCOM-Zinnov, 2023

4. Co-Creation of Scalable AI Solutions

High-performing GCCs don’t just execute - they innovate. They co-develop scalable AI solutions such as GenAI-powered PoCs, NLP-based compliance engines, and predictive customer models. The shift from pilot to production is accelerating.

• 60%+ of BFSI GCCs now run dedicated AI/ML pods focused on PoC-to-product transformation.
• MVPs are increasingly moving to full-scale production, signaling maturity in AI delivery.

Zinnov, 2024

5. Secure, Agile & Future-Proof Infrastructure

Agility and trust are non-negotiable. Modern BFSI GCCs operate on modular, cloud-native stacks. They integrate with enterprise MLOps pipelines, enforce zero-trust security, and support DevSecOps for full lifecycle governance.

• The global BFSI GCC market was valued at $40.4 billion in 2023 and is projected to reach $132.2 billion by 2032 (CAGR: 12.5%).

Precedence Research, 2024

Amantya’s Expertise: Accelerating BFSI GCC Innovation

Amantya Technologies partners with BFSI enterprises to build AI-native GCCs that are secure, scalable, and outcome-focused. We offer:

Bottom Line: BFSI GCCs Are Strategic, Not Support

The future BFSI GCC is AI-powered, agile, and deeply integrated with enterprise transformation goals. It’s not just about saving costs - it’s about driving innovation, ensuring compliance, and scaling impact across the organization.

Ready to build an AI-native GCC that delivers measurable value from day one?
Partner with Amantya Technologies. Visit: www.amantyatech.com or email us at connect@amantyatech.com