Rippling was spending 40% of its R&D budget on AI tokens, so it built a gate
rippling cut runaway ai costs, which once hit 40% of its entire r&D compensation budget, by launching a tool to track employee token usage and output quality.
rippling unveiled ai spend console, a tool designed to correlate ai token usage with employee productivity, following a discovery that its inference costs were growing 80% month-over-month. the company found it was spending as much on ai tokens as it paid 40% of its r&D staff, with one engineer spending $50,000 monthly. the tool attributes 'leaderboards' and features a gateway to route prompts to cost-effective models like glm 5.2 instead of expensive frontier models. by analyzing usage and enforcing spend caps, rippling successfully reduced its token expenditure without banning ai tools.