If you’re a platform engineer, you’ve likely felt the friction of managing AI access at scale. Your job doesn't stop at giving teams access to models. It starts with onboarding teams, provisioning keys and workspaces, and maintaining control over usage with growing adoption. In large orgs, that might mean hundreds or even thousands of engineers. Tracking usage is largely solved today. Controlling it, especially across many teams, is still tedious than it should be. That’s why we built Budget Policies. You can now apply rate limits and usage budgets across your 𝙚𝙣𝙩𝙞𝙧𝙚 𝙤𝙧𝙜𝙖𝙣𝙞𝙯𝙖𝙩𝙞𝙤𝙣, and update them instantly at a group level instead of handling them one user at a time. These policies can be based on 𝘼𝙋𝙄 𝙠𝙚𝙮𝙨, 𝙢𝙚𝙩𝙖𝙙𝙖𝙩𝙖, 𝙤𝙧 𝙬𝙤𝙧𝙠𝙨𝙥𝙖𝙘𝙚𝙨. This helps you adjust or roll out budgets or rate limits with more flexibility and ease. Read more here -> https://lnkd.in/dxfWUpvE