TOGETHER WITH FINOPSLY
The New FinOps Model: A Buyer’s Guide
What changes when FinOps evolves?
27% wasted spend
AI cost spikes everywhere
Control still comes too late
From reporting → estimate before deploy
From visibility → act with governance
From cost → prove realized value
FinOpsly calls this Value-Control.
This guide breaks down this new FinOps model
AI FINOPS
24 FinOps AI Agents Ready to Use [CODE INCLUDED]
Our friend Jeff Symons just released an open-source library of specialized AI agents designed specifically for cloud cost work.
The library covers seven main areas. Cloud cost analysis has 10 agents including ones for AWS, GCP, and Azure billing systems. Commitment management has 5 agents for Reserved Instances and Savings Plans. Kubernetes gets 3 agents for container-level cost tracking. Data platforms has 3 agents for building the pipelines behind cost dashboards. Governance has 11 agents covering tagging, chargeback, policy, and team coordination. Waste detection has 5 agents that hunt down idle resources and zombie infrastructure. Specialized work has 5 agents for ML costs, serverless, and carbon accounting.
Each agent knows the FinOps Framework inside and out. They reference which Domain, Capability, and Maturity level they support. The project covers all 22 Framework Capabilities at 100 percent.
The agents work with most modern coding tools. Claude Code, GitHub Copilot, Cursor, Windsurf, and Aider all support them. You can also use them in ChatGPT Custom GPTs or Claude Projects on the web.
Installation is simple. You clone the repo and run a script that copies files to your tool's config folder. No network calls, no special permissions needed.
The library also includes 9 playbooks for common problems. These are named patterns like "Zombie NAT Gateway" or "Month-Length Illusion" that you can reference by name when you hit those exact issues.