Workforce management system Rippling announced AI Spend Console, a new capability that helps businesses understand and control artificial intelligence spend.
Rippling’s AI Spend Console includes advanced employee usage insights and a gateway that actively controls and shapes a company’s AI usage.
“As AI adoption charges forward across every business, leaders urgently need visibility into AI spend: how much, by whom, and whether it’s paying off. But there’s no way to track these expenses or link them to productivity improvements,” the San Francisco-based company said in a media release on Aug. 6. “Rippling’s AI Spend Console provides leaders a clear view of AI spend, showing exactly which models are being used by which departments and teams. Administrators can enforce policies on token spend and AI model access and route every AI request to the most cost-effective models. It’s the control layer companies have been missing as AI moves from experiment to infrastructure.”
Using the power of Rippling Data Cloud, Rippling AI can answer sophisticated questions about the nature of AI spend in a company, while Rippling’s employee identity capabilities connect AI usage data with employee identity and business data from across a company’s systems. It gives leaders a continuous view of spend across tools like Claude, Cursor and Codex, and then measures that spend against signals from systems like GitHub or Salesforce, Rippling says. It also identifies not just who is consuming tokens, but what that spend is producing: pull requests, code velocity, and even revenue contributed.
“Looking at a dashboard of AI spend shows you a problem but doesn’t offer you a solution. That’s a recipe for anxiety,” Matt MacInnis, chief product officer at Rippling, said in a statement. “Our AI Spend Console goes two steps beyond that. First, we give you a way to govern expenses with our AI gateway, so you can keep people from editing slide decks with [Claude] Fable. And second, we give you a way to map it back to business outcomes, so you know what usage is generating real ROI.”
AI Spend Console builds on the recently released Rippling Data Cloud, which connects third-party business data to Rippling’s Employee Graph, a record of employees, departments, roles, and reporting lines. By integrating data from sources such as Salesforce and GitHub with employee information, Rippling AI gains a fuller understanding of the organization and can act on unified data, gaining visibility into AI spending. That same foundation generates permissioned dashboards across a company’s connected data, so leaders can move beyond a static report: drilling into spend and usage patterns, asking follow-up questions in natural language, and customizing charts, all without writing structured query language or waiting on a data team.
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“The question isn’t how much you are spending on AI. It’s what your AI spend is producing. Until you can answer that, you’re just managing costs—not outcomes,” Rippling CFO Adam Swiecicki said in a statement.
AI Spend Console is the latest in a series of Rippling product launches over the past four months. The company launched Procurement earlier this week, added Automated Compliance and Business Banking earlier this year, as well as AI-powered Benefits Administration. Rippling introduced Data Cloud in June to connect third-party business data to employee records and has continued to expand Rippling AI’s capabilities across HR, IT, finance, and now AI spending.
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More information about AI Spend Console can be found here.
Photo credit: Richard “Mitch” Mitchell/LinkedIn
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