The Missing Link Between AI and Business Value | The JetBrains AI Blog

Many enterprises are adopting AI agents but struggle to link their technical performance to tangible business value, primarily due to the gap between model metrics and business outcomes. Metrics like DORA and SPACE provide some insights into delivery velocity and developer experiences but fall short in demonstrating AI's impact on enterprise systems. Despite a high usage rate of AI among employees, only a small fraction utilize it in transformative ways, as highlighted by surveys. The challenge lies in correlating AI's technical performance with operational and financial outcomes, necessitating continuous benchmarking and measurement of real-world impact. Enterprises are encouraged to focus on operational metrics and ensure that AI systems are auditable and human-readable to achieve accountable and measurable integration into their workflows. Only by closing the gap between AI activity and business outcomes can organizations accurately assess AI's value, shifting ROI from an abstract goal to a data-driven reality.