Rippling builds AI spend tracker after burning millions on tokens

What happened

HR software provider Rippling unveiled AI Spend Console, a tool that tracks and limits AI spending by employee, team, and role — measuring both token costs and actual productivity output. The product emerged after Rippling's own spending spiraled: by March, the company was on track to burn 40% of its R&D headcount budget on AI tokens, with spending growing 80% month-over-month, until it discovered roughly 10–15% of employees were driving about 60% of total AI spend, including one engineer spending $50,000 a month.

Why it matters

Rippling's experience reflects a broader enterprise problem: AI inference providers like OpenAI and Anthropic have no incentive to help customers control costs. By routing workloads to cheaper models (such as Z.ai's GLM 5.2, which Rippling found to be 85% cheaper but nearly identical in performance to frontier models), paired with a gateway that matches tasks to cost-effective AI, Rippling cut token spend from 40% of headcount budget to about 15% while maintaining usage. The insight suggests cost discipline may become a prerequisite for broadening AI access beyond engineers to other departments.

What to watch

AI Spend Console is included for Rippling's HR subscribers (with additional usage-based costs) and can be purchased standalone and integrated with other HR systems. Rippling noted that measuring productivity gains outside engineering remains incomplete; the company must link token consumption in customer-facing and back-office functions to concrete outcomes before rolling out broader employee access.