Raksul has launched a new Global Capability Centre in Bengaluru, introducing what it describes as an AI-first nano GCC model aimed at enhancing efficiency, innovation, and global operations.
The development reflects the company’s strategy to leverage artificial intelligence as a core component of its operational framework. Unlike traditional large scale GCCs, the nano model focuses on smaller, agile teams that are designed to deliver high impact outcomes through the use of advanced technologies.
The Bengaluru centre is expected to support Raksul’s global operations by focusing on areas such as automation, data analytics, and digital product development. By embedding AI into its processes, the company aims to improve productivity and streamline workflows across its business units.
Industry observers note that the concept of nano GCCs represents an evolution in how companies approach global capability centres. While traditional GCCs often rely on large workforces to manage operations, the nano model emphasises efficiency through technology. This approach aligns with the increasing adoption of AI driven solutions across industries.
Raksul’s decision to establish its centre in Bengaluru highlights the city’s position as a major hub for technology and innovation. The availability of skilled talent, particularly in areas such as artificial intelligence and software development, makes it an attractive destination for companies looking to expand their capabilities.
The AI-first approach is expected to play a central role in the centre’s operations. By integrating machine learning and automation tools, the company aims to reduce manual processes and enhance decision making. This can lead to faster execution and improved outcomes.
The launch also reflects broader trends in the GCC ecosystem in India. Companies are increasingly moving towards specialised centres that focus on high value functions rather than traditional support roles. This shift is driven by the need to stay competitive in a rapidly evolving digital landscape.
The nano GCC model is designed to be scalable, allowing the company to expand its capabilities without significantly increasing headcount. This is particularly relevant in an environment where access to skilled talent is competitive. By relying on AI driven systems, organisations can achieve more with smaller teams.
At the same time, the model requires a strong emphasis on talent quality and technical expertise. Employees working in such environments are expected to have advanced skills in areas such as data science, AI, and software engineering. Continuous learning and upskilling are essential to maintain effectiveness.
Raksul’s Bengaluru centre is likely to focus on building capabilities that support its core business functions. This includes developing digital tools, improving operational efficiency, and enhancing customer experiences. The integration of AI into these areas is expected to drive innovation.
The move comes at a time when companies are rethinking their global operations in response to technological advancements. The adoption of AI and automation is reshaping how businesses operate, leading to new models such as the nano GCC.
While the concept is still evolving, it has the potential to redefine how organisations approach global capability centres. By prioritising efficiency and innovation, companies can create more agile and responsive operations.
The launch of the Bengaluru GCC underscores India’s continued importance in the global technology ecosystem. The country’s talent pool and infrastructure make it a preferred destination for companies exploring new operational models.
Raksul’s adoption of the AI-first nano GCC model highlights its focus on leveraging technology to drive growth. By combining advanced tools with skilled talent, the company aims to create a centre that can support its long term objectives.
As the GCC landscape continues to evolve, models that emphasise agility and innovation are likely to gain traction. Raksul’s initiative represents a step in this direction, reflecting the broader transformation of global operations in the digital age.
The development signals a shift towards more efficient and technology driven approaches to managing global capabilities, with artificial intelligence playing a central role in shaping the future of work.