Organizations that measure AI agents by metrics such as lines of code or chat completions alone, risk undervaluing their most transformative assets. In many ways, AI agents resemble employees rather than traditional software programs: they can learn, adapt, and even collaborate with human teams. Consequently, their contribution should be evaluated in terms of tangible business outcomes, much like human labor.
