Agentic AI: Scaling Beyond the Hype in Global Business Services
Artificial Intelligence
Agentic AI
Global Business Services
GBS
Automation
EdgeVerve
GenAI
8
Strategic Calibration
Media Hype
6/10
Real Impact
8/10
What is the Viqus Verdict?
We evaluate each news story based on its real impact versus its media hype to offer a clear and objective perspective.
AI Analysis:
The article offers a pragmatic assessment of a technology often hyped with inflated expectations; a score of 8 reflects its substantial long-term impact, while a 6 reflects the still-relatively high level of media interest.
Article Summary
EdgeVerve’s N. Shashidar outlines a measured perspective on the emerging role of agentic AI within Global Business Services (GBS) and broader enterprises. He stresses that the 2025 ‘year of agentic AI’ failed to materialize due to a lack of foundational preparation, a common issue observed across deployments. Key to scaling agentic AI isn’t simply adopting the technology, but rather a systematic approach focusing on understanding existing processes, data flows, and the inherent complexities of GBS operations. The article highlights five critical steps: thoroughly analyze processes, understand data dependencies, identify specific problems, pilot operating models (like Centers of Excellence or BOTT models), and ultimately, scale the deployment once a pilot proves successful. It emphasizes the importance of building interconnected ‘agentic ecosystems’ within GBS, where AI agents collaborate and learn from one another to optimize end-to-end processes, extending human capabilities rather than replacing them. This includes use cases like intelligent procurement and financial advisory, showcasing the potential for significant efficiency gains and operational transformation. The core argument is that GBS’s central position as a hub for processes and data makes it a prime candidate for this transformation, but only with careful, methodical execution.Key Points
- Agentic AI’s initial rollout in 2025 failed due to a lack of foundational preparation and a rush to deployment.
- Successful scaling of agentic AI requires a systematic approach focusing on understanding processes, data, and specific operational challenges.
- Building interconnected ‘agentic ecosystems’ where AI agents collaborate and learn is crucial for maximizing the benefits of agentic AI in GBS.