AI Economics.
The new cost of intelligence.
FinOps solved cloud. IFO4 will solve intelligence. Ask this agent anything about the five layers of AI Financial Operations. It speaks the thesis being briefed at the May 29 Community Call, governance first.
AI Financial Operations, governance first.
Policy, shadow-AI discovery, tagging, approvals, rate limits, model allowlists, data-classification gates. Without this, the other four layers leak.
Overprovisioned fleets. Idle clusters. On-demand vs reserved vs spot. Companies pay for peak intelligence and get shelfware.
Frontier vs small-model routing. Price per 1k tokens. Embedding costs. Fine-tuning cycles. Cheaper model plus better prompt often beats the flagship.
Where the real cost hides. A one cent prompt becomes forty cents when an agent retries itself eight times and calls three tools.
The future. Cost per diagnosis. Cost per case. Cost per forecast. If you cannot map AI cost to a business outcome, you do not have AI. You have an expense.
“If you cannot map AI cost to business outcome, you do not have AI. You have an expense.”
Operator-to-operator. No filler.
Model: Gemini 2.5 Flash via Vertex AI. Grounded in the IFO4 thesis, not web search. Bring your sharpest question to the live call on May 29.