AI Transformation Success Hinges on Clear Task Definition; KPIs Should Focus on Revenue and ROI Rather Than Adoption

The success of enterprise AI transformation (AX) depends on clearly defining tasks rather than AI adoption. Experts emphasize that without precise task definition, even advanced technology may fail to deliver results. Jo Yongmin, co-founder of UnboundedLab, highlights the need to measure AI impact through revenue growth, ROI, and customer retention rather than time savings alone. He introduces 'Level+1' KPIs, which prioritize business outcomes over technical metrics, using examples like two convenience stores that improved store revenue through AI-driven strategies. The analysis underscores the importance of industry-specific AI solutions and data-informed KPI design for meaningful business impact.