Enterprise AI initiatives frequently stall between pilot and production, even when the underlying models perform well. Kareem Al-Hakeem traces that pattern back to two recurring failures: investing in the wrong use cases without validating return early, and underestimating the governance and security overhead that real operational data demands.
The episode covers how enterprises can qualify use cases faster, where workforce enablement delivers underrated returns, and what getting AI out of the pilot phase actually requires organizationally.