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arXiv · 2510.25914

FinOps Agent -- A Use-Case for IT Infrastructure and Cost Optimization

Ngoc Phuoc An Vo·Manish Kesarwani·Ruchi Mahindru·Chandrasekhar Narayanaswami
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Abstract

FinOps (Finance + Operations) represents an operational framework and cultural practice which maximizes cloud business value through collaborative financial accountability across engineering, finance, and business teams. FinOps practitioners face a fundamental challenge: billing data arrives in heterogeneous formats, taxonomies, and metrics from multiple cloud providers and internal systems which eventually lead to synthesizing actionable insights, and making time-sensitive decisions. To address this challenge, we propose leveraging autonomous, goal-driven AI agents for FinOps automation. In this paper, we built a FinOps agent for a typical use-case for IT infrastructure and cost optimization. We built a system simulating a realistic end-to-end industry process starting with retrieving data from various sources to consolidating and analyzing the data to generate recommendations for optimization. We defined a set of metrics to evaluate our agent using several open-source and close-source language models and it shows that the agent was able to understand, plan, and execute tasks as well as an actual FinOps practitioner.

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Ngoc Phuoc An Vo, Manish Kesarwani, Ruchi Mahindru, Chandrasekhar Narayanaswami. 2025-10-29. FinOps Agent -- A Use-Case for IT Infrastructure and Cost Optimization. https://arxiv.org/abs/2510.25914

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