The CFO’s Guide to FinOps for Cloud Data Platforms & Agentic AI
Download the guide to learn how Finance, Data, FinOps, and AI leaders can build a more accountable approach to cloud data cost optimization and LLM/Agentic AI cost governance.
Agentic AI creates new opportunities. However, without real-time visibility and governance, autonomous workloads can also create unpredictable cloud spending.Discover practical strategies to:
Understand the dual cost model of cloud data platforms and agentic AI
Track LLM token economics, compute consumption, storage, and vector-search costs
Attribute infrastructure spend to agents, workflows, queries, teams, and business outcomes
Optimize Snowflake warehouses, Databricks compute, and Google BigQuery workloads
Reduce unnecessary AI costs with semantic caching and context-window management
Establish execution limits, token budgets, automated alerts, and financial guardrails
Measure unit economics, including cost per agent transaction
Build a practical 90-day FinOps implementation roadmap
