According to a recent LinkedIn post from Everstage, the company is using its Go-to-Market Masters podcast to spotlight how AI may reshape revenue operations. The highlighted episode features Colin Brown, VP of Revenue Operations at DDN, who discusses the importance of empathy in RevOps leadership and the evolving role of AI.
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The post contrasts incremental productivity gains from AI “good habits” such as meeting prep and email drafting with what Brown describes as deeper “process augmentation.” He suggests the largest efficiency gains occur when core workflows like prospecting and account planning are re-engineered so AI agents handle the bulk of intermediate steps.
According to the post, Brown believes that such transformative use cases tend to require custom-built solutions grounded in a company’s own data and supported by dedicated engineering resources. This framing positions advanced AI deployment in RevOps as a higher-bar, higher-return investment rather than a simple out-of-the-box tool adoption.
The post also underscores Brown’s view that a strategic role for RevOps is “earned, not a right,” even when teams have broad visibility across the business. For investors, the episode content suggests growing demand for sophisticated, data-driven RevOps architectures, a trend that could support long-term adoption of specialized platforms like those offered by Everstage.
By associating its brand with thought leadership around AI-driven process redesign, Everstage appears to be targeting decision-makers focused on revenue efficiency and operational leverage. If the company can convert this educational content into qualified demand, it may enhance its competitive position in the RevOps software and services ecosystem over time.