Cover image of show The Fini Podcast

The Fini Podcast

Podcast by The Fini Podcast

English

Technology & science

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About The Fini Podcast

The Fini Podcast is where Heads of Support, VPs of CX, and support leaders share what it actually takes to implement AI in customer experience. No strategies or frameworks, just real stories about deploying AI in production, managing 24/7 teams, hitting CSAT targets while automating, and proving ROI to skeptical executives. Hosted by Leonardo Maestri from Fini AI usefini.com.

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9 episodes

episode The Fini Podcast: AI in Luxury Customer Service | Brandol Guerra artwork

The Fini Podcast: AI in Luxury Customer Service | Brandol Guerra

Brandol Guerra is Associate Director of Customer Service at Rebag, the luxury handbag resale marketplace dealing in Chanel, Hermès, and Louis Vuitton. In this episode, he breaks down how to deploy AI in a luxury environment where customers expect premium service, not chatbot responses. He explains why accuracy matters more than speed in high-value transactions, how to identify detractors in the first 2-3 minutes of a call, and why Six Sigma helped him eliminate waste in AI workflows. Plus: the two workflows that must stay human (purchasing and change management), how to train teams on AI without creating resistance, and why the winning companies in 2026 aren't the ones with the best AI—they're the ones with the best adaptability.

26 May 2026 - 26 min
episode The Fini Podcast: Building AI Workflows In-House | Shahaf Tsaig artwork

The Fini Podcast: Building AI Workflows In-House | Shahaf Tsaig

Shahaf Tsaig is Director of Support and Program Management at Logz.io [http://Logz.io], where he leads a 24/7 global support team serving 1,300+ B2B customers with a 95% CSAT score. What makes Shahaf different: he spent 10 years as a software developer before moving into support leadership. In this episode, he breaks down why his first AI vendor failed at 70% accuracy and how building workflows in-house got him to 99%, the three AI tools that save his team the most time (categorization, summary, and resolution AI), and why he keeps humans in the loop even with heavy automation. Plus: why knowledge base quality matters more than the AI model, his advice for support leaders starting their AI journey, and why support will always exist to fill product gaps.

12 May 2026 - 19 min
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