This IDC white paper explores the challenges enterprises face in moving generative AI (GenAI) initiatives from proof of concept (POC) to full-scale production. While many organizations have launched GenAI POCs to explore business value, only about half make it to production. Key barriers include underestimating the complexity of scaling, infrastructure requirements, data preparation, and integration with existing systems. A successful transition demands a clear roadmap, well-defined use cases, stakeholder alignment, and early IT involvement—especially around data, security, and model performance.
