Train to Gain
In this episode of Train to Gain, Katie Merrill sits down with Kevin Nethercott, CEO of Tresic, to explore what happens when AI meets the full volume of an organization’s conversation data — and what becomes possible when that intelligence is actually put to work. Kevin shares how Tresic’s Intelligence Cloud captures and analyzes 100% of customer conversations, surfacing upsell opportunities, compliance signals, and churn risks that most organizations never see. The conversation also digs into the natural connection between Tresic’s data and B-Lynk’s SmartScore AI readiness product — and how the two work together to help organizations confidently move toward AI-enabled customer experiences. What you’ll hear in this episode * Kevin’s origin story and how Tresic came out of stealth in January * What “intelligence actioned” means — and why it’s different from traditional analytics * Why most companies only review 1–2% of their calls and what it’s costing them * How Tresic’s 16 vertical packs deliver industry-specific intelligence * The connection between real conversation data and AI readiness * How B-Lynk’s SmartScore uses Tresic data to assess documentation confidence * What the first 60 days with Tresic looks like — and why you can’t unsee the data Key takeaways * Reviewing only a fraction of calls leaves upsell opportunities, compliance issues, and churn signals completely invisible * Acting on conversation intelligence — not just reporting on it — is what drives real business change * AI readiness requires clean, accurate documentation, and real call data is the best source for identifying gaps * The combination of conversation intelligence and targeted training creates a continuous improvement cycle * AI levels the playing field — what differentiates organizations is how they engage the human side of it
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