Datatonic addresses “productivity leakage” as the primary driver of value erosion in enterprise AI value. With only 6% of organizations generating meaningful business impact from AI, Datatonic’s execution-centric framework bridges the gap between pilot-stage efficiency and production-grade financial impact, ensuring AI investments drive revenue rather than just consuming budget.
LONDON, Feb. 17, 2026 /PRNewswire/ — The era of “good enough” AI efficiency is over. While enterprise investment skyrockets, a silent crisis known as “productivity leakage” is eroding value before it hits the bottom line. Datatonic reinforces its strategic focus to combat this execution gap, providing the infrastructure required to turn isolated efficiency gains into measurable financial returns. Productivity leakage occurs when expected gains from AI fail to translate into business impact because the technology is not embedded into core decision-making structures.
Global AI spending reached $1.5 trillion in 2025, yet only 6% of organizations qualify as high performe
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