員工AI開支管控工具
Rippling 推出AI開支管理平台，追蹤代幣成本
Rippling 推出 AI Spend Console，一款可追蹤個別員工、團隊及職能人工智能 token 消耗量的工具，並將使用量與可量化的生產力表現連結。該產品亦包括一個人工智能閘道，設計用於根據任務性質，將提示自動導向成本效益較高的模型。
AI Spend Console 提供儀表板，比較提示內容、支出及工作成果，例如程式碼行數、拉取請求或客戶入職活動等。Rippling 在發現內部人工智能成本急速上升後，亦推出支出控制及模型路由功能。公司表示，這些措施協助將 token 支出由約佔研發人力預算 40% 降低至約 15%，而使用量並無明顯下降。
對僱主而言，此平台可提高人工智能成本的透明度，同時協助企業將 token 消耗與工作成果掛鈎。此舉反映企業對治理工具的需求日增，這類工具旨在於廣泛採用人工智能與收緊預算控制之間取得平衡。
英文原文
Rippling introduced AI Spend Console, a tool that tracks AI token spending across individual employees, teams and roles while linking usage to measurable productivity. The product also includes an AI gateway designed to route prompts toward more cost-effective models based on the task.
AI Spend Console provides dashboards that compare prompts, spending and work output, such as lines of code, pull requests or customer onboarding activity. Rippling also introduced spending controls and model routing after finding that internal AI costs were rising rapidly. The company said these measures helped reduce token spending from roughly 40% of its R&D headcount budget to about 15% without meaningfully reducing usage.
For employers, the platform provides greater visibility into AI costs while helping organizations connect token consumption with work outcomes. It reflects growing enterprise demand for governance tools that balance broad AI adoption with tighter budget controls.
- 來源
- Trend Hunter
- 發布
- 2026-08-14
- 品類
- Ai
- 出處
- techcrunch, rippling