AI-Driven SaaS Consumption Management

The proliferation of Software-as-a-Service (SaaS) has revolutionized enterprise IT, yet the shift towards consumption-based pricing models presents significant financial management challenges. SaaS vendors, incentivized to maximize usage, often leave clients grappling with unpredictable costs and budget overruns, a stark contrast to traditional fixed-cost software. This report investigates the hypothesis that an Artificial Intelligence (AI) or Machine Learning (ML) model can dynamically manage and optimize SaaS consumption settings, using Dynatrace as a primary case study.