Vaibhav Saxena, Co-Founder at Infer, is our first guest to make a second appearance on the AI Minds Podcast. Infer are a company which accelerates revenue growth with AI voice bots automating phone conversations and executing tasks like humans for insurance and lending.

Episode Highlights:
- Vaibhav explains how tailoring voice agents to user preferences—such as tone, pitch, and cadence—can significantly enhance engagement and conversion rates.

- Vaibhav highlights the importance of testing one variable at a time, such as voice characteristics or script style, to uncover what resonates most with different customer segments.

- Vaibhav discusses how factors like age, location, and user behavior influence voice preferences, enabling more effective and relatable interactions.

- Vaibhav Introducing natural speech imperfections like "ahs" and "ums" makes voice agents feel more human and relatable, addressing the common criticism of robotic interactions.

- Vaibhav shares his aspiration for a future where voice agents intuitively understand and adapt to individual user preferences, creating seamless and empathetic customer experiences.

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Connect with Vaibhav Saxena:
https://www.linkedin.com/in/vaibsite/
https://www.infer.so/

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