Signal 58 percent acknowledge that traditional ROI measures do not fit AI projects

Summary

KPMG finds that 58 percent of organizations accept that conventional ways of measuring return on investment are inadequate for AI projects. The report argues that AI requires key performance indicators tailored to its realities. These should include measures of indirect value, holistic impact, and returns that emerge over a longer horizon. Auditoria.AI's Rohit Gupta adds that beyond efficiency and cost savings, organizations should consider vectors such as fraud and risk mitigation or faster cash flow. Without such indicators, the report warns, organizations struggle to communicate progress and success from AI.