The Enterprise Fight Against Runaway AI Costs
Executive Take
AI cost control is now an engineering discipline, not a procurement decision about which model to buy. Leaders who only compare model prices will overspend while competitors redesign entire workflows.
Executive Summary
As enterprises scale AI deployments, engineers are cutting costs through three levers: agent harnesses that limit repeated context sent to models, routing routine tasks to cheaper models, and inference optimizations. Sarvam AI's coding agent cut task costs to $2 versus $4-28 for Claude Code and Codex. AIONOS cut telecom interaction costs 35% by moving 30% of steps to plain software.
Why It Matters
Technology and finance leaders need to know AI spending is scaling faster than expected as pilots become production. The real savings come from system design, not switching to a cheaper model.
Bizquad Perspective
Most leaders still ask which AI model to buy, when the bigger cost lever is deciding which tasks should never touch AI at all.