finops-ai

Cost management for AI systems, where token spend is only the visible tip of a much larger budget. Coverage here spans building FinOps practices around inference costs, agentic workflows, and model selection tradeoffs between frontier and cheaper models. Expect frameworks for naming hidden cost categories, assigning budget ownership, and forecasting spend as workloads scale. The focus is on treating AI economics as an operational discipline, not an afterthought.

finops-ai, agentic-ai, ai-cost-management, token-spend, ai-governance

The 7 Hidden Costs of Agentic AI: A FinOps Framework for Token Spend

Most agentic AI programs obsess over token spend while ignoring six other cost categories that never appear on a single invoice. This FinOps AI framework names all seven costs, their hiding places, and the budget owners responsible for each.

A small glowing computer chip working on everyday tasks while a large costly server sits idle in the background.

small-language-models, open-weight-models, ai-model-comparison, local-llms, finops-ai

The Most Important AI Race Isn't the Frontier Anymore

Forget the flagship hype. The biggest AI disruption is happening in fast, affordable models that handle everyday work.