3 metrics to help you measure AI’s impact

Companies are still struggling to figure out if they are getting a return on their AI investments. These metrics can help. 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.