Faros gives engineering leaders visibility and control over AI outcomes, managing costs while keeping every team within policy. As AI coding agents get embedded into engineering work, leaders face rising token bills and uneven outcomes. Faros ties spend to outcomes, shows where efficiency leaks, and points work at the models that perform, while enforcing spend policy. At the center is a context graph mirroring how your org builds software, linking work, activity, and outcomes into one view. Every number ties to a real system of record, not three dashboards telling different stories.