For more than two decades, Global Business Services (GBS) has been a cornerstone of large enterprises’ operational strategies. The model, centered around centralizing service delivery and optimizing processes, has effectively delivered cost savings, process efficiency, and compliance. However, as businesses strive for agility and innovation, the limitations of the traditional GBS model have become apparent.
Challenge 1: Beyond Cost-Cutting
The original impetus for GBS was cost reduction, achieved through process standardization and outsourcing. However, with ERP platforms and outsourcing maturing, the focus has shifted to driving genuine business transformation. Enterprises seek faster, data-driven decision-making to propel growth, requiring a pivot from pure cost savings to value-driven operations.
Challenge 2: Attracting and Retaining Talent
The traditional GBS model has struggled to appeal to young, ambitious professionals. Many perceive GBS roles as lacking challenge and excitement, leading to high turnover rates. With the emergence of the “Great Resignation,” retaining top talent has become even more crucial. GBS needs to offer compelling career prospects that align with the aspirations of the modern workforce.
The Rise of GenAI: A Paradigm Shift in Business Operations
Enter the GenAI era, marked by the integration of generative artificial intelligence into business processes. This transformative technology promises to reshape not only how enterprises operate but also how they innovate, engage talent, and create value.
Unlocking Value with GenAI
GenAI presents a seismic shift from the traditional GBS model. It offers significant productivity improvements in tasks such as voice-based work, coding, testing, and transactional processing. Beyond mere automation, GenAI enables autonomous decision-making, handling exceptions, and even engaging in creative endeavors like art, writing, and design. This opens the door to a new era of value creation.
Embracing a Generative Mindset
GBS has the opportunity to transition from a cost-centric operational entity to an innovation orchestrator. By embracing a generative mindset, GBS leaders can steer the organization towards becoming an integral part of the enterprise’s innovation journey. The convergence of employee experiences, partner experiences, and customer experiences becomes the winning formula for success – where employee experience and partner experience come together to create an amazing customer experience.
Navigating the Transformation: A Strategic Approach
1. Talent Empowerment
To drive innovation, GBS must offer challenging and intellectually stimulating roles. Creating career paths that allow employees to engage with AI-driven technologies and contribute to transformative initiatives will be key in retaining and nurturing top talent.
2. Innovation Ecosystem
GBS can transition to become an innovation hub by orchestrating capabilities across the ecosystem. Collaborations with partners, vendors, and other stakeholders can fuel cross-functional innovation, delivering tangible value to customers and stakeholders.
3. Data-Driven Decision-Making
Leveraging the power of GenAI, GBS can empower enterprises with predictive insights and data-driven decision-making. This transformation positions GBS as a strategic partner rather than a cost-cutting function.
How Does Generative Artificial Intelligence Change Business Operations?
GenAI is reshaping the business landscape by infusing automation and intelligence into various operational facets. From streamlining processes to making data-driven decisions, AI is revolutionizing how enterprises function. For instance, AI-powered chatbots are transforming customer support by providing real-time assistance and resolving queries, elevating customer experiences.
Check out how Airo streamlined AE processing using conversational AI at a major Life Sciences company.
How Is GEN AI Revolutionizing Business?
The revolution brought about by Artificial Intelligence is profound. Enterprises are leveraging AI to decipher complex patterns in data, enabling them to make predictive and prescriptive decisions. Take, for example, predictive analytics, where AI algorithms analyze historical data to anticipate future trends, empowering businesses to proactively adjust strategies and stay ahead of the competition.
Moreover, Artificial Intelligence has swiftly become a cornerstone of business strategy. Its role spans across various sectors, from enhancing supply chain management with demand forecasting algorithms to revolutionizing marketing through personalized recommendations powered by AI-driven insights. In essence, AI is the driving force behind informed decisions and innovative solutions.
How Can Artificial Intelligence Enhance Workforce Productivity?
AI holds the potential to amplify workforce productivity. By automating repetitive tasks and augmenting human capabilities, AI liberates employees to focus on high-value, strategic endeavors. An illustrative case is Robotic Process Automation (RPA), where AI-driven bots handle routine data entry tasks, allowing employees to engage in more creative and impactful work.
Check out how Airo helped a Pharma Major to improve overall productivity by 70%.