Rippling has announced AI Spend Console, a new capability that helps companies understand and control AI spend. Unlike other systems that passively report on token consumption, Rippling's AI Spend Console includes advanced employee usage insights and a gateway that actively controls and shapes AI usage in your company, connecting AI spend with workforce data and closing the loop with AI model controls and routing.
Rippling launches AI Spend Console for tracking AI usage, spend, and ROI.
Connects AI usage data with employee identity and business data from systems like GitHub and Salesforce.
Includes AI gateway to govern expenses and route requests to cost-effective models.
Built on Rippling Data Cloud and Employee Graph for unified visibility.
Customers can join waitlist starting today.
Latest in series of product launches including Procurement, Compliance, and Business Banking.
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. 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.
Rippling's superpower of employee identity further amplifies the value of AI Spend Console. It connects AI usage data with employee identity and business data from across your 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 identifies not just who is consuming tokens, but what that spend is producing: pull requests, code velocity, and even revenue contributed.
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, the foundation for 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.
"Looking at a dashboard of AI spend shows you a problem, but doesn't offer you a solution. That's a recipe for anxiety," said Matt MacInnis, Chief Product Officer at Rippling. "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 Fable. And second, we give you a way to map it back to business outcomes, so you know what usage is generating real ROI."
"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," said Adam Swiecicki, Chief Financial Officer of Rippling.
About Rippling
Rippling is the AI platform that manages HR, IT, and Finance, giving Rippling AI the data and permissions it needs to help run your company. Because everything lives in one place, Rippling AI has a complete view of your business and can take trusted action quickly and safely. Based in San Francisco, CA, Rippling has raised $1.8B from Kleiner Perkins, Founders Fund, Sequoia, and Bedrock, among others, and has been named to the CNBC Disruptor 50, Forbes Cloud 100, and G2's Top Global Software Companies list.
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