Generative AI is reshaping how organizations approach productivity, customer experiences, and operational capabilities. Across industries, teams are experimenting with generative AI to unlock new ways of working. Many of these efforts produce compelling proofs of concept (POC) that demonstrate technical feasibility. The real challenge begins after those early wins. Although POCs frequently demonstrate technical feasibility, organizations often struggle to translate them into production-ready systems that deliver measurable business value. The journey from concept to production, and from production to sustained value creation, introduces challenges across technical, organizational, and governance dimensions.
The Generative AI Path-to-Value (P2V) framework was created to address this gap. It provides a mental model and practical guide to help organizations systematically move generative AI initiatives from ideation and experimentation to production at scale. The goal…
