Report examines why enterprise AI agents stall before production
A custom report from MIT Technology Review’s Insights arm, based on a survey of 300 technology executives, examines why enterprise AI agent projects struggle to reach production. It reports that about 34% of projects advance to production on average, with fragmented data, legacy systems, security and privacy concerns, and insufficient context among the main obstacles. The report highlights retrieval technologies, AI-ready APIs, RAG, evaluation agents, and knowledge graphs as investment priorities.