The Crucial Difference Between AI Efficiency and AI Transformation with Eric Fulwiler

What separates companies using AI for efficiency from those using it for transformation? Eric Fulwiler, Co-founder & CEO at Rival, joins us today to explore why many organizations are incorrectly approaching AI the same way they approached previous technological shifts. We discuss the difference between using AI to improve existing processes and redesigning entire operating models around what the technology now makes possible. Rather than measuring success through incremental efficiency gains, Eric explains why businesses need to rethink the systems behind the work. Later, we examine what will separate organizations that simply adopt AI from those that build something competitors cannot easily replicate. As AI models become increasingly accessible, differentiation shifts toward the workflows, data, governance, and human judgment built around them. Eric also shares how his own company is rebuilding its operating model from the ground up, along with a framework for deciding whether an AI initiative is simply an improvement to the old way of working or a genuine rethink of what's possible. Topics covered during this episode include: How “wave one” of AI improved existing systems through incremental efficiency gains. Why “wave two” is redesigning entire operating models around new technological possibilities. Why short-term thinking keeps many established companies trapped in wave one. How rebuilding an organization requires committing beyond immediate quarterly performance. Why technical talent accelerates meaningful AI transformation inside growing businesses. How workflows become stronger competitive advantages than underlying AI models themselves. What new constraints replace time, expertise, and volume in AI-driven work. Why human leadership matters more than simply keeping humans inside the loop. How proprietary data strengthens AI systems beyond generic large language models. Why customized workflows create differentiation despite using the same AI engines. How breaking work into tasks reveals better roles for humans and AI. What distinguishes genuine wave two thinking from incremental AI improvements. Why agencies may shift toward hybrid technology and service business models. How continuous experimentation builds deeper AI capability than following industry headlines. Listen now to discover why AI transformation starts with redesigning systems, not adopting more tools! Eric Fulwiler on LinkedIn: LinkedIn: ericfulwiler