Organizations struggle to manage AI spending without detailed usage data per user and team. GitLab 19.4 introduces granular control over GitLab Credits, allowing administrators to set per-user budgets and monitor consumption. This feature enables precise tracking of AI usage by individual developers and teams, facilitating fair budget allocation and accurate forecasting. Companies can now establish showback and chargeback mechanisms based on transparent usage reports. The urgent need for AI governance is highlighted by industry reports showing high demand for budget allocation to AI controls. GitLab's AI Accountability Report confirms this, with 98% of respondents prioritizing AI governance. The platform provides detailed exportable reports down to individual billable events, offering insights into consumption patterns. Developers can view their own AI usage, promoting individual accountability. GitLab Flex adds a further layer of control by allowing capabilities to be designated as restricted, usage-capped, or unlimited, preventing overages in one area from impacting others. Per-user caps can be set as a default and then individually overridden, allowing for flexibility in managing different user roles. This comprehensive approach to AI spend management empowers organizations to scale AI responsibly, ensuring alignment between business needs and budget allocation.