May 13, 2026 • 75 min
Voice AI is moving beyond phone menus and basic IVR. Enterprise voice agents can now understand natural speech, manage interruptions, route calls, qualify leads, and support customers across complex workflows.
In this Executive Spotlight interview, Katherine Stone speaks with Retell AI CEO and co-founder Bing Wu about how Retell is building production-ready voice AI for phone-heavy businesses and contact centers.
The conversation covers Retell’s founder journey, its low-latency turn-taking model, agentic transfers, AI QA, testing, guardrails, pricing, and why human agents will remain part of the contact center.
What This Episode Covers
- What Retell AI is and how it differs from traditional IVR
- How Bing Wu’s product background shaped Retell’s platform strategy
- Why low latency and turn-taking matter in voice AI conversations
- How Retell helps teams build and improve production-ready voice agents
- Why voice AI should work alongside contact center software
- How agentic transfers improve human-AI collaboration
- Why AI disclosure and transparency matter in customer conversations
- How Retell uses AI QA, testing, guardrails, and knowledge bases
- What Retell’s pay-as-you-go pricing model means for enterprises
- Why human agents will remain essential for complex interactions
Retell AI is focused on making enterprise voice AI easier to build, deploy, monitor, and improve over time. The platform is designed for industries where phone calls remain central to sales, support, payments, scheduling, and customer retention.
As Bing Wu explains, the goal is not to replace every human agent. It is to automate repetitive workflows, improve call handling, and give teams better tools for managing the next generation of voice-based customer experience.