Why do AI projects fail to reach production?

Most AI projects stall because of unaddressed inhibitors — governance gaps, integration complexity, skills shortages, and uncertainty — rather than weak technology.

Research consistently shows that stalled AI initiatives are blocked by inhibitors rather than a lack of capability.

The most reliable path from pilot to production is to address inhibitors directly: define governance, clarify accountability, reduce integration complexity, and invest in the necessary skills.