The Problem That Became a Company
Aditya Kamat did not set out to build a voice AI company. He set out to solve a revenue problem at HeyCoach, the edtech business he co-founded and scaled to six million dollars without a single outside dollar. What he built there was a full sales operation, real humans, real volume, real friction. And the friction had a name: first response time. The moment a lead signed up, the clock started. Harvard research backs up what Aditya experienced firsthand, that interest drops exponentially after sign-up because people simply forget they raised their hand. If your sales rep is asleep when that lead comes in, you have already lost ground. That was not a people problem. It was not a training problem. It was structural, and no amount of better hiring was going to fix it. That realization is what became DialNexa.
Where the Process Problem Hides Inside the Tech Question
One of the sharpest moments in this conversation comes when Aditya describes what actually happens when a business signs up for voice AI expecting magic. The expectation, he says, is unrealistic in most cases. Companies arrive thinking that because they are paying for AI, it should perform on day one. But Aditya’s team now puts something unusual inside their contracts alongside the pricing: a formal time commitment from the client. Every week, until the agent matures, the business has to sit with the DialNexa team for at least ten hours. The reason is straightforward. The worst customers are the ones who cannot give clarity on their own processes. If a business trains new hires by talking through things on a whiteboard, with nothing documented, there is nothing to train the agent on either. The AI does not have a process problem. The business does. Voice AI just makes that gap visible faster than any human hire ever would. What Aditya is really selling, underneath the technology, is a forcing function for operational clarity.
How the Human Stays in the Loop
Aditya is careful not to oversell autonomy, and that carefulness is actually one of the more trustworthy things about how he talks about his product. DialNexa uses a call transfer feature that kicks in under three conditions: when a customer is too irate to continue with the agent, when the agent cannot understand the language or accent being used, and when the customer asks something outside the agent’s trained knowledge. What makes the transfer work is a parallel hunt behind the scenes, where seven human agents are called simultaneously the moment a transfer is triggered, and whoever picks up first gets patched in with the context already loaded. The handoff has to be immediate because a frustrated customer cannot wait. Aditya is clear that voice AI has not matured to the point of full autonomy, and he does not pretend otherwise. That honesty is part of what makes the technology trustworthy to adopt. The human stays in the loop precisely where human judgment is irreplaceable, and the agent handles everything repetitive, everything time-sensitive, everything that used to fall through the cracks at two in the morning when no one was at their desk.
Patience Is the Competitive Advantage
If there is a single idea Aditya returns to throughout this conversation, it is that patience with AI is not a weakness. It is the actual strategy. Businesses that treat their voice agent like a new hire, giving it feedback, reviewing call recordings, refining the prompts over weeks rather than days, are the ones that see real outcomes. Businesses that expect results in week one are the ones that conclude the technology does not work and walk away from something that could have transformed their operations. The companies scaling with voice AI right now are not the ones with the biggest budgets. They are the ones willing to babysit the agent through its learning curve, the same way a good manager would with a new team member. That is the competitive advantage hiding in plain sight, and most people are too impatient to claim it.
If this conversation gave you a clearer picture of where voice AI actually fits inside a real sales operation, the full episode is worth your time in whatever format works for you. Watch on YouTube or Listen on Simplecast and hear the unfiltered version of how Aditya thinks about building, bootstrapping, and the moment a problem becomes a product. You can also get all 294 episodes in one place by downloading the free LFC app on the App Store or Google Play.
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