New research from Clari Labs shows that 87% of enterprises missed their 2025 revenue targets. This comes despite high investments in AI. The study highlights a gap between AI goals and revenue data readiness. It surveyed 400 CIOs, CROs, and RevOps leaders at large North American firms. The findings reveal that 48% believe their revenue data is not AI-ready. Additionally, 42% lack formal data governance frameworks. These issues hurt forecast accuracy and decision-making. Fragmented systems continue to stall progress, with 55% reporting conflicting pipeline signals and 57% unable to fully deploy AI agents across revenue operations.
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As Revenue AI adoption accelerates, CIOs are emerging as strategic partners in growth, with 64% now leading the selection of forecasting and revenue tools and 96% of leaders saying CIO involvement improves forecast accuracy. However, weak governance and limited RevOps participation remain barriers to impact. As Steve Cox, CEO of Clari + Salesloft, stated, “We’re watching revenue evolve into one of the most disciplined systems inside the enterprise… True revenue predictability depends on every forecast, deal, and action being grounded in trusted, governed data that is aligned across the CIO, CRO, and RevOps.”
