Maximizing AI investments, particularly with GitLab Duo Enterprise, begins with measuring actual usage and business value. GitLab developed the Duo Analytics solution as part of their Duo Accelerator program to transform raw usage data into actionable insights and ROI calculations. This specialized enablement tool assists organizations in transitioning to comprehensive AI productivity measurement. The insights gained enable optimizing license allocation, identifying high-value use cases, and building business cases for AI expansion. A financial services firm partnered with GitLab to implement a hybrid analytics solution for measuring AI productivity and optimizing license utilization. Before implementing analytics, it's crucial to define which GitLab Duo features to measure, identify users, determine key business metrics, and understand current data collection methods. This process involves defining an ROI measurement framework, KPIs, a data collection strategy, and stakeholder reporting requirements. The provided solution is an open-source approach that can be deployed in your own environment free of charge, requiring Python, Node.js, a GitLab instance with Duo enabled, and a GitLab API token. The solution involves setting up the project, configuring API access, collecting raw AI usage data via Python scripts, organizing the collected CSV files, configuring a dashboard, and launching a web server to access analytics. An optional React dashboard offers a more interactive and modern UI. Automation is key, with Python scripts integrable into scheduled GitLab CI/CD pipelines for continuous data collection, processing, and dashboard updates, transforming manual processes into a self-sustaining analytics engine. This approach allows for concrete engagement metrics conversion into business impact, revealing license utilization and driving actionable recommendations for AI adoption. GitLab's DevSecOps platform, with its GraphQL APIs and integrated AI capabilities, provides a strong foundation for enterprise AI analytics and measurement.