Speaking with TechGraph, Sumit Singh, Co-Founder & CEO of DashLoc, discussed how businesses are increasingly shifting their focus beyond digital discoverability toward real-time customer engagement, and how the company is addressing this evolution through AI-powered voice automation that helps organizations bridge the gap between customer discovery and conversion.
Singh also spoke about how DashLoc is building conversational AI around India’s diverse communication patterns and customer expectations, creating voice experiences that improve accessibility while enabling businesses of all sizes to engage customers more consistently and effectively.
Read the interview in detail:
TechGraph: For years, businesses have invested heavily in improving visibility across search, listings, and digital platforms, yet converting customer interest into meaningful engagement often depends on how quickly and effectively they respond. What gaps in the customer journey led DashLoc to conclude that voice automation was becoming the next critical layer for businesses?
Sumit Singh: What became increasingly clear to us was that visibility alone does not guarantee conversion. Brands were investing heavily in discoverability across search, listings, and reviews, but a major gap remained at the point of engagement. When customers reach out, especially during high-intent micro moments, delayed responses, missed calls, or inconsistent communication often lead to lost opportunities.
We saw businesses solving discovery well but struggling with responsiveness at scale across multiple locations. That creates friction exactly when customers are ready to act. Voice automation emerged as the natural next layer because it bridges discovery and engagement in real time. It enables businesses to respond instantly, consistently, and intelligently, reducing revenue leakage while improving customer experience. In many cases, growth is not limited by demand but by how efficiently businesses capture intent when it matters most.
TechGraph: Voice has long been one of the most natural ways for people to communicate, but it has also been one of the most difficult channels to automate effectively. What recent advances in AI convinced you that voice agents are now ready to move beyond basic interactions and handle more meaningful customer conversations?
Sumit Singh: For a long time, voice automation struggled because conversations are rarely linear. Human interactions involve context, intent shifts, interruptions, and emotion, which traditional systems could not handle well. What changed recently is the maturity of AI across speech recognition, natural language understanding, contextual reasoning, and real-time response generation. Voice agents today can process nuance, retain context, and respond far more naturally than before. That changes voice from a transactional channel into an intelligent engagement layer.
At DashLoc, we see this as a major shift because customer conversations often happen at high-intent moments where speed and relevance directly influence conversion. Businesses no longer need voice systems that simply answer queries. They need intelligent agents that understand intent, resolve friction, and create seamless interactions that feel fast, contextual, and genuinely helpful.
TechGraph: Many businesses today struggle less with generating enquiries and more with responding to them consistently and at scale. From your conversations with customers, what operational bottlenecks are becoming most apparent, and where do voice agents create the greatest value in addressing them?
Sumit Singh: What we consistently hear from businesses is that the real challenge is no longer generating enquiries but managing response quality and speed at scale. As customer touchpoints grow, teams struggle with missed calls, delayed responses, inconsistent communication, and uneven service across locations. These gaps create hidden revenue leakage because customer intent is highest in the first interaction window. A delayed response often means a lost opportunity.
The bottleneck is largely operational. Businesses are managing high-volume conversations with limited bandwidth while trying to maintain consistency. This is where voice agents create significant value. They enable instant, accurate, and always available engagement across every location. More importantly, they reduce friction during high-intent micro moments, helping businesses improve responsiveness, customer experience, and conversion without proportionally increasing operational complexity.
TechGraph: India remains a highly diverse market where customer interactions span multiple languages, varying levels of digital literacy, and different communication preferences. How did these realities shape the development of DashVoice, and what challenges emerge when building AI-powered voice experiences for such a broad user base?
Sumit Singh: Building for India means recognizing that India is not one market. It is thousands of micro markets. Customer communication here is incredibly diverse and deeply contextual. Language is only one layer. Customer expectations, digital comfort, regional behavior, and communication preferences vary significantly across markets. This shaped DashVoice from the ground up. We knew voice AI had to be multilingual, context-aware, and natural enough to adapt across different user segments.
The real challenge is not just understanding words but accurately interpreting intent, tone, and context in highly dynamic conversations. Customers also expect interactions to feel intuitive and frictionless regardless of language or digital literacy. That raises the bar for AI significantly. Our focus has been on building voice experiences that improve accessibility, reduce complexity, and create locally relevant engagement at scale.
TechGraph: The promise of AI-powered customer interactions is speed and scalability, yet customer experience can quickly suffer if conversations feel transactional or disconnected from customer intent. How do you ensure that automation enhances engagement without sacrificing the human element that businesses rely on to build trust?
Sumit Singh: The real goal of automation should never be to replace human connection. It should enhance it. Customers can immediately sense when interactions feel robotic, transactional, or disconnected from their intent. That is where trust breaks. At DashLoc, we design AI agents to understand context, intent, and conversation flow rather than simply deliver scripted responses.
The focus is on making interactions feel natural, relevant, and responsive. Good automation should reduce friction, not create more of it. It should handle routine conversations with speed and precision while allowing human teams to focus on high-value interactions that require empathy and judgment.
The best customer experiences come from balancing efficiency with authenticity. When automation is applied thoughtfully, it improves responsiveness at scale while preserving the trust and confidence that businesses work hard to build with every customer interaction.
TechGraph: Small and medium businesses often face the same customer engagement challenges as larger enterprises but operate with far fewer resources and smaller teams. How do you see AI-powered voice solutions balancing the way these businesses compete, particularly in markets where responsiveness can have a direct impact on customer acquisition and retention?
Sumit Singh: AI-powered voice is becoming a major equalizer for small and medium businesses because customer expectations today are shaped by speed, convenience, and responsiveness, not company size. Smaller businesses often lose opportunities not because demand is low, but because limited teams cannot respond consistently across every enquiry.
That creates missed calls, delayed follow-ups, and lost conversions. Voice AI helps close that gap by giving smaller businesses access to always available, intelligent customer engagement without significantly increasing operational costs. It enables them to respond instantly, capture high-intent enquiries, and deliver consistent experiences at scale.
In highly competitive markets, responsiveness directly influences acquisition and retention. Businesses that engage faster build stronger trust and convert better. AI voice allows smaller teams to operate with the efficiency and responsiveness traditionally associated with much larger enterprises.
TechGraph: DashLoc’s journey has been centred on helping businesses strengthen their local presence and customer engagement. How does DashVoice fit into that broader vision, and what role do you see conversational AI playing in the future of local commerce and customer experience?
Sumit Singh: At DashLoc, our vision has always been to help businesses win at the local level by strengthening discovery, engagement, and conversion. DashVoice is a natural extension of that vision. We realized that visibility alone is not enough. The real opportunity lies in what happens after discovery, when a customer reaches out with intent. That moment is critical. DashVoice helps businesses respond instantly, intelligently, and consistently across customer conversations at scale. It closes the gap between customer intent and business action.
Going forward, conversational AI will become a core layer of local commerce. Customer expectations are shifting toward immediate, frictionless, and personalized interactions. Businesses that can engage in real time with context and relevance will build stronger trust and better conversion. In many ways, conversational AI will become the intelligence layer powering the next generation of customer experience.
TechGraph: Looking ahead, do you believe businesses will eventually view AI voice agents as a standard extension of their customer engagement strategy, or are we still at a stage where the technology’s long-term role is being defined by early adoption and experimentation?
Sumit Singh: I strongly believe AI voice agents will become a standard layer in customer engagement much sooner than most businesses expect. Customer expectations today are shaped by immediacy. They want instant, accurate, and frictionless interactions across every touchpoint. Businesses can no longer rely solely on manual processes to manage customer conversations at scale.
That model simply does not support modern demand. AI voice is solving a very real business problem by improving responsiveness, reducing missed opportunities, and enabling consistent engagement 24 by 7. Over the next few years, voice AI will move from being a competitive advantage to a business necessity. Just as digital presence became essential, intelligent conversational engagement will become fundamental to how businesses acquire, engage, and retain customers.
