Track your AI spend and connect it to business outcomes
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.
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
*You can join the AI Gateway waitlist once you start a free trial in Rippling.
About AI Spend Console by Rippling on Product Hunt
“Track your AI spend and connect it to business outcomes”
AI Spend Console by Rippling launched on Product Hunt on August 6th, 2026 and earned 266 upvotes and 115 comments, earning #2 Product of the Day. 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.
On the analytics side, AI Spend Console by Rippling competes within Artificial Intelligence, Data & Analytics and Finance — topics that collectively have 487.4k followers on Product Hunt. The dashboard above tracks how AI Spend Console by Rippling performed against the three products that launched closest to it on the same day.
Who hunted AI Spend Console by Rippling?
AI Spend Console by Rippling was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
AI Spend Console by Rippling has received 4 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of AI Spend Console by Rippling including community comment highlights and product details, visit the product overview.
Garry Tan
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.