Скачать или смотреть Self-Improving Voice Bots: Replacing 100 Agents with AI

What if a single AI voice agent could handle 100,000 calls a day and free up your entire support team?

Episode Summary:
In this episode of Lobster Talks, Gabriel sits down with Kevin Wu, founder of Leaping AI, to unpack how voice-powered AI is automating 50–70% of repetitive support calls, self-optimizing over time, and achieving 90% customer satisfaction. We dive into the origin story, technical stack, ROI metrics, human-in-the-loop safeguards, and bold predictions for 2030.

You’ll learn:
How Leaping AI began: from BCG ideation to the first major enterprise customer
The differentiator: combining voice AI with evaluation and self-optimization modules
Managing edge cases and human fallback to maintain 90% satisfaction
Tech stack overview: orchestration layer, Twilio, multiple TTS/ASR providers, LLMs
Calculating ROI and setting realistic metrics with weekly check-ins
Future bets: AI vs. human empathy, integration challenges, market structure by 2030
Practical advice for CX leaders overwhelmed by AI hype

Chapters:
00:00 Introduction to Leaping AI with Kevin Wu
00:59 Kevin Wu's Journey and Inspiration
02:10 Winning the First Customer
02:41 Leaping AI's Unique Selling Points
03:59 Self-Improving AI Agents
05:17 Handling Edge Cases and Human Involvement
06:32 Early Days and First AI Call
07:33 Challenges and Continuous Improvement
09:00 Market Position and Competitor Insights
13:47 Customer Metrics and ROI
17:18 Technical Stack and Partnerships
19:09 Sponsor Message and Text-to-Speech Choices
19:32 The Best AI Voice Provider: Does It Exist?
21:10 Challenges in Voice AI for Sales
23:31 Implementing AI in Customer Support
25:37 Customer Reactions to AI
29:32 Future Predictions for AI in Customer Service
37:45 Getting Started with AI in Customer Service

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