Predictable AI spend: Control costs as AI scales

AI workloads introduce new cost complexity: GPUs, models, agents, and shared services all contribute to spend in ways traditional cloud cost tools weren’t built to explain. In this video, we walk through how organizations bring clarity to AI spend by unifying cloud, on-prem, and AI cost signals, improving allocation, and applying governance as usage grows. You’ll see how teams move from reacting to AI bills to understanding where spend comes from, who owns it, and how it aligns to business value, without slowing innovation. What you’ll learn: • Why AI spend becomes hard to explain as usage scales • How diverse infrastructure drives AI cost variability • Why allocation and governance matter for AI costs • How teams gain a single, trusted view of AI and cloud spend • What predictable AI spend looks like in practice Learn more about AI and cloud cost governance: https://mavvrik.ai #AI #AICostGovernance #AISpendManagement #AIInfrastructureCosts #FinOpsForAI #Mavvrik #GoogleCloud