3 metrics to help you measure AI’s impact

Artificial intelligence in software development has moved rapidly from experimentation to enterprise-wide deployment. Coding assistants, automated documentation, AI-powered testing, and intelligent development tools are now embedded in the daily workflows of many engineering teams. At the same time, organizations are expanding AI initiatives far beyond traditional IT functions while also raising expectations from business leaders who want faster delivery, greater automation, broader adoption, and real business outcomes. For CFOs, the question is no longer whether AI is entering the enterpri...