Only 5% of generative AI projects deliver measurable business value. Success correlates with deep customization of AI to specific business contexts and forming partnerships rather than going it alone. Top performers focus on narrow, high-value use cases, integrate AI deeply into existing workflows, and scale through continuous learning instead of broad feature expansion. Domain fluency and workflow alignment matter more than flashy user interfaces. Aggressive customization and alignment with real business pain points attract enterprise attention. Plug-and-play AI solutions rarely suffice, and careful evaluation is required when deciding whether to build or buy AI capabilities.
focus on narrow but high-value use cases, integrate deeply into workflows, and scale through continuous learning rather than broad feature sets,
Domain fluency and workflow integration matter more than flashy UX.
capture enterprise attention through aggressive customization and alignment with real business pain points,
The standout performers are not those building general-purpose tools, but those embedding themselves inside workflows, adapting to context, and scaling from narrow but high-value footholds.
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