According to a recent LinkedIn post from Everstage, a joint session featuring Zoë Mckenzie of Checkr, Inc. and Jose Aleman of Everstage focused on practical drivers of AI adoption in go-to-market workflows. The discussion emphasized that account research time reportedly fell from two hours to 15 minutes per representative, with AI usage reaching a 67% adoption rate.
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The post suggests that this adoption level depends less on the AI tool itself and more on underlying data discipline and structure. It highlights that simply connecting a CRM to an AI system may only deliver partial value unless teams invest in defining data context and preparing data in advance of specific AI use cases.
For investors, the content points to Everstage’s positioning around data-driven sales operations and AI-enabled productivity rather than pure software integration. If the company can translate this approach into product capabilities or services that systematically improve sales efficiency, it could support stronger value propositions and stickier customer relationships.
The emphasis on data readiness and disciplined CRM structuring also reflects broader industry trends in revenue operations and AI deployment. Companies that help customers achieve measurable time savings and higher adoption rates could gain competitive advantage, potentially improving pricing power, retention, and expansion opportunities over time.