Global financial giant American Express has inaugurated its largest global office in Gurugram, India, covering nearly one million square feet. This new headquarters is located in Sector 74A and will see employees moving in stages, starting by the end of this month.
The Gurugram campus is part of a strategic initiative to boost the company’s presence in India by combining global expertise with local talent. This investment aims to construct a modern, environmentally friendly office space. The facility has earned LEED Gold certification because of its sustainable architecture and construction. Environmental considerations are integral for the company, featuring energy-efficient LED lighting, smart building solutions, and electric vehicle charging stations. It also involves the use of renewable energy and effective waste management practices.
The design of the campus prioritises the health and well-being of its staff, incorporating green spaces, ergonomic workstations, and areas for relaxation such as quiet rooms and lounges. The intent is to create an environment that enhances productivity and employee satisfaction.
“The facility is a fitting reflection of our brand and the kind of workplace where our colleagues can thrive,” said Gagandeep Singh, senior vice president of global real estate and workplace experience at American Express. Sanjay Khanna, CEO and country manager for American Express in India, highlighted the campus’s role in fostering innovation and adding global value.
Additional features of the campus include a dynamic cafeteria with a live kitchen, a fitness centre, outdoor sports facilities, and terraces, all designed to promote community and collaborative engagement among employees. Access to campus amenities is streamlined through user-friendly apps, facilitating easy integration and flexibility for the workforce.
Apart from Gurgaon, American Express operates from multiple offices in India including Bengaluru, Mumbai, Chennai, Pune and New Delhi.
The company strategically leverages generative AI to improve its customer service and operational efficiency, opting for partnerships with established AI models rather than developing its own LLMs. This approach allows them to integrate such analytics and customer sentiment analysis into their services, improving predictive capabilities and personalising the customer experience.
