AAAI2026
Agentic Solutions for IT Financial Operations
Bekir O. Turkkan, Pavankumar Murali, Chandrasekhar Narayanaswami, Vadim Sheinin
摘要
The dynamic nature of cloud spending and pricing structures pose challenges for practitioners in IT Financial Operations (FinOps). Recent advances in agentic systems enables them to instead rely on agents for complex FinOps tasks such as drawing insights from their data through natural language queries. In this work, we present an IT FinOps Data Insights Agent, that implements “chat with your data” approach to support practitioners in their daily tasks. Our agent achieves up to 90% accuracy across ITBench FinOps scenarios.