AI Governance Shouldn’t Cost More Than Your Actual AI Bill (opens in new tab)

Many startups are caught between fragile DIY AI proxy solutions and expensive enterprise governance platforms. This article argues for a practical middle ground focused on four essentials: context management, cost-aware routing, security guardrails, and token attribution. The goal is to control AI costs and risk without paying enterprise-level premiums before achieving product-market fit.