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Dannah
Barnett Vaughan
Principal of Customer Success
Silverline Solutions
Dannah Vaughan is a transformational SaaS customer experience executive who serves as Principal of CX at Silverline Solutions and Chief Customer Officer at Rebels of SaaS Podcast & Platform. She orchestrates the entire customer journey—from initial implementation through expansion—driving 45%+ revenue growth and 99%+ retention rates across global teams. Her expertise lies in architecting scalable customer success frameworks that accelerate implementation timelines by 40%, reduce churn by 40%, and increase NPS by 32 points. As Founder of Rebels of SaaS, a global podcast platform reaching 10 countries, Dannah champions innovative AI-driven solutions that boost team productivity by 65% while maintaining a human-first approach that has generated $35M+ in revenue expansion. Her consultative problem-solving approach has unlocked $25M+ in new revenue streams through innovative service offerings and industry-leading best practices. Through Rebels of SaaS, she amplifies rebellious voices in B2B, challenging conventional thinking and driving positive innovation in the global customer success space.
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30 October 2025 13:45 - 14:30
Panel discussion - AI in 2025: What’s real, what’s hype, and what’s next for CS
From copilots to agentic workflows, AI is reshaping the Customer Success landscape—but not always in the ways people expect. This session takes a grounded, forward-looking look at how CS teams are actually using AI today, what’s proving valuable, and where the limitations still lie. We’ll explore the current use cases making the biggest impact—from intelligent automation to customer insights and internal tooling—while also surfacing which tools teams have moved away from and why. The conversation will include what a modern CS team looks like when AI is a true partner—not just a plug-in. Attendees will leave with a clearer understanding of what’s working now, where to place bets next, and how to build a Customer Success org that’s both human-first and AI-enabled.