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A US based Healthcare Software Company converted their BOT model to a Center of Excellence (CoE)

A US based Healthcare Software Company converted their BOT model to a Center of Excellence (CoE)

Client’s Challenge – Revisiting the Operating Model

The client was operating in India on a Build-Operate-Transfer arrangement in partnership with a BOT solution vendor since 2013.

The company wished to re-visit their operating model to a more sustainable operating model. The company wanted to create an exclusive and personalized 100+ member team in a 3 year time period in India. 

How Zinnov helped – From BoT Model to a Center of Excellence model

Zinnov conducted an assessment study and presented its recommended operating models to the client.

Center of Excellence was chosen as the new operating model to take the operations in-house to reduce external exposure and a conducive management system.

Zinnov’s methodical approach involved the identification of critical components and a comprehensive risk-reward analysis to consider various options.

This careful consideration culminated in a clear roadmap that accounted for potential contingencies. Once the roadmap was established, Zinnov expertly managed the transition process, taking into account a wide range of factors, including financial management, contract negotiations, vendor relationships, entity formation, back-office operations, and logistics.

Through this thorough approach, Zinnov ensured a smooth and successful implementation of the operating model transformation strategy from BOT model to a Center of Excellence. Post center setup, Zinnov has continued to drive the talent strategy for the client. 

Impact Created 

Zinnov’s operating model transformation strategy resulted in a nearly complete transition of the workforce, with a staggering 95% of employees making the switch.

This was achieved without incurring any significant upfront costs, as the company was able to sidestep the traditional expenses associated with office space and IT infrastructure. 

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Frequently Asked Questions

The BOT model is a hybrid offshoring strategy. In this approach, a third-party vendor sets up and manages operations on behalf of the client company during the “Build” and “Operate” phases. Once the operations reach maturity, they are transferred (“Transfer” phase) to the client as a fully owned entity.

A Global Capability Center (GCC) is an offshore center established by a company to manage key business operations such as IT, engineering, finance, HR, legal, or research and development (R&D). These centers are fully owned and operated by the parent company and are designed to provide strategic support across geographies. By leveraging talent from global talent hubs—especially in locations like India—GCCs help companies scale efficiently, enhance operational resilience, and tap into innovation-led growth at reduced costs.

An AI/ML Center of Excellence (COE) is a dedicated unit within an organization that focuses on the development and implementation of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These centers serve as specialized hubs to drive innovation, streamline operations, and enhance decision-making by leveraging Advanced Data Analytics and Predictive Modeling.

US MNCs are investing in India GCCs for various reasons. India, the GCC Capital of the World, hosts over 1,760 GCCs, employing approximately 1.9 million professionals, making it the undisputed GCC capital of the world. This leadership is fueled by:

  • Deep technical talent pool
  • Pro-business government policies
  • Robust infrastructure
  • A thriving startup ecosystem

By 2030, India is projected to host 2,200+ GCCs, employing 2.5 to 2.8 million professionals, with the market size expected to touch $99-150 billion.

This growth is being fueled by the rise of digital-first enterprise models, AI-led disruption, and expansion into Tier-II and Tier-III cities, firmly positioning India as the global epicenter for enterprise innovation and transformation.

Setting up a GCC/CoE in India enables companies to drive innovation in Healthcare, leverage top-tier medical and engineering talent at optimal cost, enhance operational efficiencies, improve tech capabilities, and integrate AI-driven healthcare solutions at scale.

India has a highly skilled workforce in Nano Medicine, AI-driven Healthcare, clinical research, and new product design and quality assurance for medtech, enabling Healthcare GCCs to lead in global R&D, data analytics, and digital health solutions.

Companies setting up GCCs in India for Healthcare must comply with data privacy regulations (DPDP Act), HIPAA guidelines, and local Healthcare policies to ensure smooth and legally compliant operations.

The future of Healthcare GCCs in India will be driven by AI-powered diagnostics, Revenue Cycle Management (RCM), Virtual Healthcare, Nano Medicine, blockchain for patient data security, Agentic AI-driven solutions, ESG-focused healthcare solutions, and stronger collaborations between global healthcare giants and Indian R&D centers.

Depending on the scale and complexity of the operation, it typically takes between 3 to 6 months to set up a fully functional GCC in India. With the help of a GCC consulting and setup expert and a robust setup playbook, companies can fast-track this process and achieve operational readiness in record time. Zinnov has successfully partnered with organizations like Agilon Health to establish their India GCC, helping them navigate talent strategy, legal and regulatory frameworks, infrastructure planning, and cultural integration. Leveraging such expertise not only reduces setup time but also ensures long-term scalability and strategic alignment with global business goals.

Healthcare companies such as Agilon Health, Providence, Abbott, Medtronic, Cardinal Health, UnitedHealth Group, Carelon, and Medline have set up their GCCs in India, attracted by the country’s quality infrastructure, access to a skilled talent pool, and a thriving ecosystem. Hyderabad, in particular, has become an ideal location for digital transformation and innovation for these global companies.

AI plays a critical role in transforming healthcare GCCs by enhancing clinical decision-making, improving patient outcomes, and optimizing operations. It supports predictive analytics for early disease detection, personalized treatment plans, and automated diagnostics. AI-driven systems streamline medical imaging, drug discovery, and remote patient monitoring, reducing diagnostic errors and improving care quality. Additionally, AI enables revenue cycle management, claims processing, and fraud detection, helping healthcare GCCs reduce costs and improve efficiency.

With 24+ years of expertise in setting and transforming 210+ GCCs, Zinnov’s approach to a frictionless GCC setup has helped customers reduce time to set up and time to value by 50%. The proven 3-phase model- Design, Implementation, and Governance—ensures hassle-free setup and operations.

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