

AI Spend Console gives Finance and Engineering leaders one place to track AI spend across tools (such as Claude and Cursor) and connect it to business outcomes. Break costs down by vendor, model, or employee, then connect spend to GitHub output data like pull request volume and the # of code revisions. You can get started for free–no Rippling subscription required.
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AI Spend Console by Rippling is a dedicated platform that gives Finance and Engineering leaders a single, unified view of their organization's AI-related costs. Instead of juggling invoices and usage reports from multiple AI vendors, this console centralizes spend data from tools like Anthropic, OpenAI, and Cursor into one dashboard. It goes beyond simple cost tracking by connecting token usage to actual business outcomes, such as GitHub pull request volume and code revision counts, helping you understand the real return on your AI investments.
Connect your Anthropic, OpenAI, and Cursor accounts to see all AI costs in one place. You can break down spending by employee attributes like team or department, giving you a clear picture of who is spending what across the organization.
The console maps token spend directly to pull requests and code reviews, so you can spot where AI usage is efficient and where it isn't. You can ask questions in plain language about usage and spend, and the platform will build dashboards for you in seconds—no SQL knowledge required.
Automatically route requests to specific models and set token spend limits based on employee attributes. Every request is logged, so you can always see who made it, what it cost, and how it impacted the business. This feature is powered by the upcoming Rippling AI Gateway, which you can join a waitlist for after signing up.
You can invite colleagues to view the dashboards you've created or let them build their own. This makes it easy to share insights across Finance, Engineering, and leadership teams without switching between different reporting tools.
AI Spend Console doesn't just show you what you're spending—it shows you what you're getting for it.
Most spend management tools stop at the invoice. AI Spend Console goes further by tying every dollar to employee identity and engineering output. Because it leverages Rippling's unified employee data, you can see which roles, departments, or teams are driving costs and whether that spend correlates with meaningful work like merged pull requests. This level of granularity is rare in the AI cost management space.
You're a Finance or Engineering leader watching AI costs climb without a clear view of where the money goes or what it produces. It's especially useful if your team uses GitHub for development and you want to connect AI spend to code output. The fact that you can get started for free—without being a Rippling customer—makes it a low-risk tool to evaluate. If you're already a Rippling AI customer, the console is included in your subscription, making it an even easier addition to your stack.
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