In the golden intersection of innovation and execution, a new opportunity is blooming for India’s Global Capability Centers (GCCs): Generative AI. No longer a distant buzzword or a Silicon Valley experiment, GenAI is actively transforming how GCCs deliver value from cost centers to core enablers of enterprise growth and intelligence.
But this transformation is not automatic. It demands a shift, not just in technology, but in mindset, structure, and execution. So, how can India’s GCCs truly win with GenAI?
At Parkar, we believe the answer lies in an integrated, time-tested approach refined through years of working alongside enterprise GCCs across industries. From launching fully operational GenAI Engineering Practices in under 90 days to scaling AIOps across globally distributed factory systems, we’ve seen what it takes. And we’re ready to share the blueprint.
The GenAI Imperative: Why GCCs Must Act Now
India is home to over 1,500 GCCs, many of which are already the digital and analytics engines of their parent organizations. But GenAI introduces a fundamental shift. It’s not just about automating tasks. It’s about reimagining how knowledge work is done,faster, deeper, and more human-like.
What makes GCCs the perfect launchpad?
- Talent Density: India’s engineering and data science talent pool is already among the most competitive globally.
- Proximity to Enterprise DNA: GCCs are embedded in enterprise workflows, making them ideal to identify high-impact use cases.
- Agility at Scale: With the right frameworks, GCCs can build, test, and scale GenAI pilots with unmatched speed.
But acting on this opportunity is where most GCCs get stuck.
What’s Holding Back GenAI in GCCs?
Let’s be honest, GenAI has incredible potential, but getting past those flashy proof-of-concept demos? That’s where many teams hit a wall.
- Lack of Alignment with Enterprise Goals: GCCs often struggle to align their innovation roadmap with broader enterprise objectives, leading to projects that lack sponsorship or longevity.
- Unscalable POCs: Teams can prototype well, but scaling those prototypes into robust production systems remains elusive due to fragmented tooling, talent gaps, or governance issues.
- Skill Shortages: Even tech-savvy teams find themselves under-equipped to handle new GenAI roles like LLMOps Engineers or Prompt Engineers.
- Inability to Attract Talent: The talent war is real. Attracting and retaining niche AI talent while competing with startups and global tech giants is a tall order.
These roadblocks are real, but they are also solvable, with the right partner and the right approach.
Parkar’s GenAI Playbook: A Proven Path to Success
Over the years, Parkar has worked closely with GCCs in Fintech, Healthcare, and Manufacturing to help them evolve from cost-saving hubs to innovation powerhouses. Our GenAI playbook is built on four foundational pillars, honed through real-world engagements and success stories.
Use Case Identification
Rather than jumping on flashy demos, we help GCCs prioritize enterprise-aligned, ROI-driven use cases, in areas such as:
- Fraud detection & transaction monitoring
- Credit decisioning & risk assessment
- Collections strategy & customer engagement
- Predictive maintenance in manufacturing
- Customer service automation
This sharp focus ensures early wins that build stakeholder confidence and unlock future funding.
Platform Tooling Strategy
We bring clarity to the chaos of the GenAI tooling ecosystem,guiding teams on the best-fit platforms, such as:
- OpenAI GPT-4, Codex, ChatGPT
- Langchain, LlamaIndex for RAG-based architectures
- TensorFlow, PyTorch, Azure ML for ML workloads
- MLflow, Giskard, Humanloop for model lifecycle and testing
Tooling isn’t one-size-fits-all. We tailor choices to the enterprise’s security posture, infrastructure, and long-term roadmap.
Talent Discovery & Upskilling
We believe GenAI transformation isn’t just tech,it’s people. Our approach includes:
- Hackathons to identify internal GenAI champions
- Bootcamps to upskill full-stack engineers, data engineers, QA professionals, and business analysts into roles like:
- GenAI Integration Engineer
- LLMOps Engineer
- AI Model Validator
- GenAI Business Analyst
This structured transformation is what turns fragmented experiments into scalable programs.
Scaled Execution & Governance
With agile pods blending engineering, data science, and SRE capabilities, we drive sprint-based execution,delivering Minimum Lovable Products and iterating fast, while embedding robust model monitoring, CI/CD, and compliance protocols.
Real-World Wins from India’s GCCs
Let’s bring this to life. Here are two powerful case studies that reflect what’s possible.
Case Study 1: Launching a GenAI Engineering Practice in 90 Days
A leading Financial Services GCC wanted to establish a GenAI CoE in India,but faced fragmented tooling, unclear use cases, and a talent skills gap.
What we did:
- Co-defined high-impact use cases with their global AI leads
- Selected the right platform stack for deployment (OpenAI, Azure ML, Langchain)
- Ran internal hackathons to surface GenAI-curious talent
- Conducted intensive bootcamps to upskill and redeploy resources
- Guided sprint-based delivery for early POCs in fraud detection and credit underwriting
Outcome:
In just 90 days, the GCC had a live, functioning GenAI Engineering Pod,delivering production-grade applications.
Case Study 2: Building the Backbone for GenAI with AIOps at Scale
A large manufacturing conglomerate faced operational chaos: 50,000+ alerts a month from fragmented IT/OT systems, 5+ vendors, and 12+ platform variants.
What we did:
- Built a unified AIOps CoE at their India GCC
- Created cross-functional pods across platform engineering, SRE, and data science
- Delivered real-time monitoring across SCADA, OT, and IT infrastructure
- Enabled predictive maintenance and automated incident remediation
Outcome:
This became the foundation for GenAI-led intelligent automation across all global plants, improving visibility, governance, and uptime.
Parkar x GCCs: A Partnership for Scalable Innovation
Since 2015, Parkar has been a trusted partner for Build-Operate-Transfer models, innovation studios, and managed services for over 50 enterprise clients across the US, Europe, and India. With a team of 300+ domain experts and a sharp focus on Fintech, Healthcare, and Manufacturing, we don’t just talk transformation,we execute it.
Our approach is designed for GCCs that want to move fast without breaking things, innovate with purpose, and scale sustainably.
So whether you're just getting started with GenAI, or looking to scale AIOps across your factory floor, we bring the playbook, the team, and the real-world proof to make it happen.
The Time Is Now
GenAI is not a moonshot. It’s here. It’s practical. And it’s already reshaping enterprise value chains. For India’s GCCs, the question is no longer if, but how fast.
At Parkar, we’re here to make that speed real. With a playbook grounded in experience, talent transformation programs that deliver results, and success stories that inspire confidence, we help GCCs leap into the future,not with fear, but with clarity and momentum.
Ready to win with GenAI? Let’s build your story together. Contact us
