Redesigning Enterprise Architecture for Scalable Intelligence

Agentic AI marks a new phase in enterprise automation, where context-aware AI agents act independently, adapt in real time, and operate across complex systems.

- By Niraj Kumar

ENTERPRISE AI is entering a new phase. The earlier wave of tools automated predictable tasks and assisted with decisions based on static models. But agentic AI is something far more dynamic. These context-aware Al agents can work independently, pursue goals, and adjust their behavior based on changing inputs. They are capable of initiating actions rather than simply responding to commands, which makes them useful in complex business environments. Considering these advantages, over 80% of Indian organizations are now exploring the development of autonomous agents. However, deployment of these agents can be a challenge with traditional enterprise architecture, which was never built to support such autonomous systems. It means that the existing technology stack needs to be redesigned.

Building Scalable, Composable AI Pipelines

Earlier, scalability used to mean increasing server capacity or expanding cloud storage. But in the context of agentic AI, scalability means being able to manage operations across departments with the help of agentic AI. These autonomous agents need continuous access to structured and unstructured data. They also need clear rules on what they can and cannot do and a secure way to interact with both modern APIs and older systems still in use.