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 guest is Arpan Podduturi, VP of Product at Samsara.
Arpan Podduturi is Vice President of Product at Samsara, where he leads strategy and development of physical AI products that help protect the frontline workers who make up 80% of the global workforce. Before joining Samsara, Arpan served as Vice President of Product at Shopify, overseeing Shop App and agentic shopping. Prior to Shopify, Arpan led product management for Etsy’s seller businesses and mobile products as well as ESPN’s flagship mobile app—the world’s most downloaded sports app. He has also held product and design roles at Disney, Viacom, and the National Hockey League, and founded his own direct-to-consumer brand.
Samsara is the pioneer of the Connected Operations® Platform, which is an open platform that connects the people, devices, and systems of some of the world's most complex operations, allowing them to develop actionable insights and improve their operations. With tens of thousands of customers across North America and Europe, Samsara is a proud technology partner to the people who keep our global economy running, including the world's leading organizations across industries in transportation, construction, wholesale and retail trade, field services, logistics, manufacturing, utilities and energy, government, healthcare and education, food and beverage, and others. The company's mission is to increase the safety, efficiency, and sustainability of the operations that power the global economy.
Recap Video
Takeaways
The biggest overlooked AI market may be the 80% of workers who cannot sit at a screen while doing their jobs.
Samsara’s vision starts with giving every driver hands-free access to a superintelligent assistant inside the truck.
Voice AI can provide safety coverage when human dispatchers are unavailable, including during peak drowsiness hours from 11 p.m. to 4 a.m.
A voice agent that keeps a tired driver alert until the next rest stop turns AI from a productivity tool into potentially life-saving infrastructure.
Replacing unexplained warning beeps with clear spoken guidance can improve behavior because workers understand what happened and what to do next.
Automating routine calls does more than reduce labor; it makes personalized guidance possible across thousands of vehicles at once.
Geofenced voice agents can deliver instructions at the exact moment they become relevant, removing the need for dispatchers to track and call every driver.
The clearest AI business cases come from narrow workflows where every minute saved maps directly to lower costs or higher margins.
Proprietary operational data is what makes a voice agent useful at work, not simply access to a powerful language model.
Highly structured voice conversations currently outperform open-ended ones, challenging the belief that more freedom always creates a better AI experience.
Building many effective agents creates a new problem when they lack shared context and begin competing for the same user’s attention.
Agent orchestration will become as important as speech quality because a safety warning must take priority over a routine notification.
Technical performance alone will not drive adoption when workers may see an unexpected talking camera as surveillance, interference, or disrespect.
Personalization must include how much guidance each worker wants, since one driver may welcome an AI companion while another feels patronized.
The next major shift is from agents built around management workflows to one assistant built around the frontline worker’s full day.
The end state is a hands-free work assistant that unifies routes, safety policies, job instructions, and conversation history without forcing workers to check a phone.
