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This is the 5th launch from Rippling. View more
AI Spend Console by Rippling
Launching today
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.
Free Options
Launch Team
Rippling
Hey Product Hunt 👋 I'm Kevin, Product Lead behind Rippling AI Spend Console.
We built AI Spend Console because every company is adopting AI and costs are growing quickly. As a result, companies lack the infrastructure to track and manage AI spend as a new expense category. We faced this problem at Rippling.
In response, Finance teams manually pull data from vendor billing dashboards and run ad-hoc analyses just to get a point-in-time view of spend. And even then, you can see what you’re spending but not which teams, departments, or models drive the increase, and whether it’s improving business outcomes or employee productivity.
What AI Spend Console is:
AI Spend Console gives you a clear view of AI spend, connects it to business outcomes, and governs the use of approved LLMs. You can get started for free, no Rippling subscription required.
Unlike simple usage dashboards or point solutions, Rippling maps AI spend to employee attributes (such as department, team, and role) and GitHub output data (such as pull request volume and number of code revisions).
Rippling AI generates personalized dashboards using your connected data. You can even ask follow-up questions in natural language to drill down into spend and usage patterns. You can enforce policies on token spend and model access based on organizational data such as an employee’s department, team, or role*.
AI Spend Console can help you:
Know what's driving your AI bill. Break down spend by vendor, model, or individual employee in a single view.
Understand the value of spend. Map AI spend to business metrics like performance ratings or pull request volume, so you can flag inefficient use.
Control AI access and spend*. Enforce model access policies based on employee attributes, then automatically route AI requests to approved LLMs.
How it works:
Connect AI vendors (Anthropic, OpenAI Codex, Cursor), GitHub, and your employee data
Rippling AI builds you a custom dashboard based on your connected data
You can ask follow-up questions in natural language and share dashboards with anyone in your company
What we believe:
Your AI investment is like any other investment. You should only spend $$$ if it translates into actual ROI. You can’t understand that from a vendor billing dashboard.
You need to see all your AI spend in one place, tied to the teams, roles, and departments driving it, and connected to the business outcomes it's producing. Without that org context, spend is just a number. Rippling AI Spend Console gives you all three.
We'd love your feedback on:
Where the experience feels magical
What third-party integrations you'd like to see us add next
Try it for free with a 30-day Rippling AI trial at www.rippling.com/platform/ai/ai-spend-console. You don't have to be a Rippling customer.
If you’re interested in learning more about our experience tracking and controlling AI spend at Rippling, you can read more in this blog post: www.rippling.com/blog/introducing-ai-spend-console
Thanks for checking it out 🙏
-Kevin and the Rippling Team
*You can join the AI Gateway waitlist once you start a free trial in Rippling.
I run a small engineering org and budget conversations with Finance usually devolve into guesswork because nobody has a shared source of truth. If this console becomes that shared reference point, it could genuinely change how I plan next year's tooling spend.
Rippling
@puja_sharma13 Definitely. Working from a shared source of truth is critical, especially when you're dealing with a fast-growing line item like AI spend. Once you have that visibility, you can make more informed vendor and budget decisions. I'd love to hear what you think of the product! You can also invite your Finance team to AI Spend Console so they can view shared dashboards too.
Would love to know if it tracks spend trends over time, not just snapshots. I care more about trajectory than a single month's number.
Rippling
@robert_smith52 Yes, it tracks AI spend over time. It's not a static dashboard. One view I really like is "AI spend by vendor over time".
My CFO keeps asking for proof that my AI tools are worth the license fees. A dashboard that ties spend directly to code output gives me something concrete to bring to that conversation.
Rippling
@uttam_kumar35 Yes! You can look at tons of GitHub metrics like pull request volume, number of code revisions, code rework, etc. Let us know what you think!
What stands out to me is the employee-level breakdown. I've always suspected some engineers get far more value from AI tools than others but I've never had data to actually confirm that suspicion.
Rippling
@soni_kumari25 Such a great point. I had that assumption too and we've learned a lot at Rippling about who's actually driving that spend. You can look at employees or teams, roles, departments, levels.
Its interesting bcz managing HR, payroll and IT in separate systems can get messy quickly. What was the biggest challenge you wanted to solve when building this platform?
Congrats @kevinmason and team!
Rippling
@kevinmason @hamza_afzal_butt The biggest challenge was ensuring users have a magical onboarding experience and can get value from the tool. For example, we spent a lot of time testing and tuning our recommended prompts so the platform surfaces interesting AI spend and usage patterns. For example, you can see which engineers spend the most on AI but have the highest number of code revisions.
The vendor-level breakdown caught my eye. I've got Claude, Cursor and two other tools all billing separately, and reconciling that manually is tedious.
Rippling
@ayesha_mughal1 Glad to hear you're interested! The vendor level breakdown gives you a good idea of what you're spending across all your vendors, then you can further break that down by which models, which teams, and which roles are driving spend. Excited to hear what you think!