AI Adoption Failure: Why Most Enterprise AI Projects Fail (And How to Avoid It)
Enterprise AI initiatives falter not from technological deficits but from the failure to architecturally embed capabilities into value-generating workflows, trapping 95% of pilots in non-production limbo[7]. True scaling demands modular service layers, orchestration engines, and observability platforms aligned to precise business KPIs, transforming experimental tools into autonomous operational assets.