In the Future of Voice AI series of interviews, I ask three questions to my guests: - What problems do you currently see in Enterprise Voice AI? - How does your company solve these problems? - What solutions do you envision in the next 5 years?

This episode’s guests are Anshul Shrivastava, Co-Founder and CEO, and Kumar Saurav, Co-Founder and CTO, at Vodex.ai.

Vodex specializes in Generative AI-powered voice agents that facilitate natural, humanlike conversations with customers. These virtual agents manage the initial phases of customer interactions, offering businesses a scalable and efficient way to handle inbound and outbound sales and collections calls. By personalizing conversations and providing real-time insights, Vodex helps businesses improve engagement and streamline processes.

Anshul Shrivastava is the Founder and CEO of Vodex.ai, with 12+ years in the IT industry and a strong focus on AI innovation. He leads Vodex.ai in building global AI solutions, aiming to drive growth and deliver real impact for clients. Anshul views technology as a catalyst for progress and is passionate about shaping the future of AI.

Kumar Saurav is the Co-Founder and CTO of Vodex.ai, where he drives the development of generative AI solutions for business. With 13+ years across IT, IoT, Robotics, and AI, he brings both technical depth and business insight to solving client challenges. At Vodex.ai, he focuses on AI-powered outbound call solutions that boost sales, service, and marketing performance, while sharing his expertise through writing and research.

Recap Video

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Takeaways

* Voice AI still hasn’t had its ChatGPT moment because people hate talking to bots that feel slow or robotic.

* Latency is the deal breaker — anything slower than 300ms breaks the illusion of real conversation.

* Cascading pipelines lose tone, emotion, and context, making bots sound flat and unreliable.

* Speech-to-speech models are the real unlock, combining speed with emotional nuance.

* Most voice AI agents are stitched together from ASR, LLM, TTS, and telco layers.

* Vodex positions itself as the “Stripe of voice AI” with simple plug-and-play APIs.

* Vertical focus matters, and collections is their strongest domain with strict FDCPA compliance.

* Naturalness moves revenue, with one Arabic deployment lifting recovery from 45% to 81% in seven days.

* Naturalness is not a “nice to have” — it directly drives revenue and customer trust.

* The bar is rising fast; in two years robotic-but-functional bots will be unacceptable.

* Proven sweet spots for voice AI right now: lead qualification, debt collection, healthcare scheduling, and follow-ups.

* Vodex’s origin story shows the shift from slow custom builds to no-code, plug-and-play bots for non-technical users.

* Context engineering and AI-on-AI testing are how they handle edge cases and reliability gaps.

* The future of voice will run on small, task-specific speech models built for speed and accuracy.

* Gen Z decision makers will push companies to embrace talking to systems instead of clicking around apps.

* Vodex rejects cold-call spam, betting that contextual, consent-based conversations will define the industry.

* Soon, every company will be expected to have a natural voice agent the same way every company is expected to have a website.

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