Introduction
Agentic AI is an AI technology that overshadows the traditional predictive AI technologies. It can autonomously operate the workflows and make them more efficient and time-saving. Agentic AI perceives, plans, acts and reviews ; thus reducing human intervention and providing enhanced decision making. It has its own memory , it uses LLMs (Large Language Models) and can be integrated with the intended technologies. It uses its own decision-making capability by deciding the steps or tasks required to reach the goal.
Operational Costs in a business or company refer to the daily expenditure required to keep it working. It can be fixed ( for example, salaries, rents ) or variable (for example, materials, shipping cost). It plays a vital role in a business’s functioning by affecting its profitability, efficiency and decision-making capability.
Using Agentic AI in reducing Operational Costs is a ground breaking technology , since autonomous implementation of Agentic AI in businesses leads to better efficiency, reduced manpower and improved decision -making resulting in profits. This intersection where complex business workflows are not just automated but are autonomously managed, optimized, and executed is called Intelligent Operations.
Use of Agentic AI in reducing Operational Costs:
1. Agentic AI autonomously operates the workflow, thus providing end-to-end automation. This reduced the need for manual intervention, eventually reducing operational costs.
2. Google’s Agentic Framework avoids costly vendor lock-in and verifies their investments. This is done by using open protocols like A2A, AP2 and an open-source development kit (ADK). This allows the business to leverage the best-of-breed agents and tools from any provider.
3. It significantly reduces the Total Ownership Cost. The agentic AI automates the task and decision-making and completely manages the workflow.
4. It makes the system more secure and robust , thus positively affecting the businesses.
5. It can also play a pivotal role in E-commerce where it automates the product cataloging, customer engagement and services.
Examples:
1. EcoptiAI framework: It introduces an agentic AI-powered system which automates essential e-commerce tasks, minimizes operational costs and improves customer satisfaction.
Reference: Alecsoiu, Olivia-Roxana, et al. "EcoptiAI: E-Commerce Process Optimization and Operational Cost Minimization through Task Automation using Agentic AI." IEEE Access (2025).
2. AgentIQ: This Agentic AI by Vymo enhances operational efficiency of the BFSI value chain by leveraging advanced capabilities.
Reference: How to use Agentic AI to reduce operational costs in BFSI - Blog
