R&D予算の40%をAIトークンに費やしていたRippling、「ゲート」を構築
Ripplingは、従業員のトークン使用量と出力品質を追跡するツールを導入することで、一時的にR&D報酬予算全体の40%に達していたAIコストの暴走を抑えました。
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.