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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
No subscription required to start is a smart call. I'd have skipped this entirely if it demanded a Rippling account upfront.
Rippling
@balakrisnan_h Let us know what you think when you try it out! We're very open to feedback and happy to answer any questions.
I manage a small eng team and honestly, connecting cost to pull request volume is the missing piece I've wanted from every billing dashboard I've tried so far.
Rippling
@jack_mark8 Are there other metrics you're interested in? Curious what you'd like to see next.
@kevinmason We've gotten good at buying AI. We're still figuring out how to manage it. Timely launch.
Rippling
@joseph_walker2 The journey is new for all of us -- first tokenmaxxing to boost AI adoption, then shifting to analyze how much AI is really costing us after blowing over budgets, to now finding new tools to control AI costs.
It's a delicate balance -- what's enough AI spend so people can be wildly productive, but not so much that people are using it to generate expensive daily briefs that summarize their slack messages every morning running on Opus 4.7?
I'm excited to hear what you think of the AI Spend Console!
@rachel_cantor3 Which AI vendor integration was the most requested by early users?
Rippling
@sawyer_benjamin Definitely Cursor and Claude!
Serand
Rippling
@rukhsar_amjad Hi! I think you posted your comment twice. Just responded in the other thread!
@kevinmason What was the hardest part of connecting spend with outcomes?
Cost visibility is great, but connecting it to GitHub activity is what really stands out. Nice approach to measuring AI ROI.
Rippling
@noahanderson Thanks! That was the core insight for us: spend alone doesn't tell you much, but when you tie it to GitHub data like PR volume, cost per PR, and code rework rate, you can actually start to see where AI usage is translating into output versus just adding cost. Would love to hear what you think once you dig into the dashboards!
Rippling
@noahanderson Thanks! Every leader is asking "What's the ROI on my AI spend?" and connecting it to GitHub metrics is just one way to see that. Of course, there's nuance but it helps you see where AI spend translates into improved business outcomes, especially if you have a heavy eng org.