ROI for AI

Jonathan Kvarfordt from Momentum.io emphasizes the critical role of leadership and governance in AI initiatives, highlighting the need for top-level buy-in to build credibility and trust while aligning projects with business goals. He outlines three levels of ROI for AI—optimization (time savings), amplification (revenue growth and cost reduction), and reinvention (transforming sales strategies)—to help organizations assess impact. Jonathan underscores the importance of integrating AI into existing systems for streamlined communication and decision-making, and advocates for forming tiger teams to track effectiveness and foster trust in the technology. He presents a hybrid implementation model combining top-down strategy and bottom-up execution, ensuring thorough planning, readiness assessments, and phased rollouts. His approach provides a strategic roadmap for go-to-market success and effective AI-driven transformation.