Why AI projects stall and how CIOs can respond

This article outlines how traditional enterprise governance lags behind AI technologies, causing projects to stall; it recommends embedding security, legal, privacy, and data stakeholders early, establishing cross-functional AI governance councils, and creating standardized "paved roads" (pre-approved architectures, controls, and monitoring) to accelerate safe AI adoption while managing risks such as data leakage, prompt injection, and regulatory uncertainty.