Many small and medium businesses sit on lists of dormant customers who could return with the right nudge—but manual re-engagement is slow, inconsistent, and hard to measure. This panel episode breaks down a practical, low-friction approach to building an AI-powered winback engine: identify high-value churn signals, generate on-brand personalized offers and messaging, automate multichannel delivery, and measure incremental revenue. Lyric focuses on creative hooks and voice alignment so re-engagement feels like relationship-building, not spam. Nova outlines the lightweight data architecture and governance to keep customer data safe and predictions reliable. Stryker maps technical options—from no-code orchestration to simple model choices and metrics—while Pulse walks through rollout, SOPs, and monitoring to keep campaigns repeatable. Listeners leave with three immediately actionable steps to start winning back customers within weeks.