InformationWeek Says Control AI Agent Costs With Process. Here's Why That Won't Scale.

InformationWeek recently published "A Practical Guide to Controlling AI Agent Costs Before They Spiral" — a solid rundown of nine recommendations for managing AI agent spending. The advice is sensible. Track costs per workflow. Use cheaper models for low-stakes tasks. Set token quotas. Cache where you can. If you're running a handful of agents on well-defined tasks, this is perfectly adequate guidance. The problem is that nobody's staying at a handful of agents on well-defined tasks. When a single agent makes 1,500 API calls to resolve one prompt — and you have 200 agents running 24/7 across a dozen business units — organizational processes can't keep pace. Spreadsheet reviews, quarterly audits, and manual quota-setting weren't designed for systems that make economic decisions at machine speed. InformationWeek's recommendations describe the what . What's missing is the how — specifically, how to enforce these controls without humans in the loop. The Scale Problem Is Already Here This i