In 2025, agentic AI will emerge as a highly competitive teammate. Agentic AI is going to be used for customer service automation in banking. Agentic AI could also be used for autonomous fraud detection in banking. Agentic AI will be used in logistics to do inventory tracking and predicting stock levels. It will autonomously replenish inventories. It can optimize routing in supply chains. It will assist smart warehousing.
In healthcare, agentic AI could match patient needs and preferences with the availability of medical experts. It will monitor vital parameters such as BP and sugar. It will help in generating reports. Doctors can analyze data about patients and customize treatment plans.
Data can be gathered from a variety of sources — sensors, internet and databases. There could be a feedback loop.
To begin with, automaton involved processes such as Robotic Process Automation (RPA) and workflow automation. These are well suited for repetitive compliance driven rule-based tasks. They are not suited for content-dependent, unstructured and evolving scenarios. Agentic AI plays a role here. It adapts the decisions by being a transformative layer.
Agentic AI manager consists of a lac of professionals, whereas we require double the number of professionals by 2026. The manpower required consists of agentic AI developers, architects, solution engineers, and testers.
There are issues about the control and accountability of agentic AIs. Enough safeguards are to be provided while developing them. There should be audit oversight. There should be suitable laws to regulate them. In future, AI could become a distinct legal entity with its own rights and responsibilities.
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