Generative AI is rapidly reshaping the landscape of Global Business Services (GBS). Various industries stand to gain immense potential from adopting generative AI in GBS, as it impacts business processes spanning marketing, customer service, code generation, and process optimization.

However, the shift to generative AI presents its own challenges. GBS leaders are grappling with issues such as data privacy, ethical considerations, and integration complexity. The report highlights some of these challenges and identifies key concerns that GBS leaders need to address to ensure successful and responsible integration of generative AI. GBS leaders are unclear on the path forward to navigate the exciting yet complex landscape of generative AI. To ensure successful integration at their organizations, the report underscores the significance of taking a holistic approach that encompasses technology, people, processes, and continual learning and adaptation.

In this report, we examine the recent developments in generative AI and its potential significance in the GBS domain. It also explores the factors fueling the hype and outlines how GBS organizations can leverage this technology to improve customer interactions, streamline operations, and automate tasks. By illustrating initial use cases and real-world examples, the report illustrates how companies are utilizing generative AI to drive efficiency and enhance user experience.

Scope

• Industry: global services
• Geography: global

Contents

In this report, we analyze the recent developments in generative AI along with some of the potential use cases across the industry and business process areas. We also examine the adoption of generative AI in global services, highlighting the associated risks.

​​Membership(s)

GBS/SS Standard

GBS/SS Talent Excellence

IT Talent Excellence