Havells Launches Agentic AI Voice Control for 2.67 Million Users Across 8 Languages

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Havells introduced an agentic AI voice feature on its Havells One app, enabling 2.67 million users to control connected appliances using natural speech in English and seven Indian languages. Built by Havells' Center for Research & Innovation with ElevenLabs' voice models, the system interprets intent and handles code-mixed speech across fans, air purifiers, water heaters, Lloyd air conditioners, and Crabtree smart switches.

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Havells Deploys Agentic AI Voice Across Connected Home Ecosystem

Havells has launched an agentic AI voice feature on its Havells One app, rolling out the capability to all 2.67 million users

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. This AI voice control feature marks a significant shift from traditional command-based interfaces to natural speech interaction, allowing users to control connected appliances without memorizing specific phrases. Built by the Havells Center for Research & Innovation, the system integrates ElevenLabs' streaming speech-to-text and text-to-speech models with Havells' own conversational intelligence and device-control agents

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. The multilingual agentic AI voice supports eight languages—English, Hindi, Tamil, Telugu, Bengali, Kannada, Gujarati, and Malayalam—addressing India's linguistically diverse households where families often switch between multiple Indian languages mid-conversation

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Natural Speech Recognition Replaces Fixed Commands

Unlike Havells' earlier voice-control experience, which supported only English and Hindi on select appliances and required users to remember specific commands, the new agentic AI voice feature interprets intent rather than fixed syntax

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. The system handles code-mixed speech—a common pattern in Indian households where people blend languages within single sentences. Users can now issue requests like "make the room comfortable," prompting the system to coordinate multiple connected devices including air conditioners, air purifiers, fans, and lights simultaneously

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. This orchestration capability executes commands across devices using different connectivity protocols at once, while the agent's memory retains context across multiple interactions

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. When commands are ambiguous, the system asks for clarification and can explain device error codes in plain spoken language

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Broad Device Coverage and Rapid Deployment

The AI-driven smart home technology currently works across a range of connected Havells products including fans, air purifiers, water purifiers, and water heaters, as well as Lloyd air conditioners and washing machines, Crabtree smart switches, and upcoming smart home products

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. "Today, consumers just need a Havells Smart device registered in their Havells One App to use this feature," said Dipesh Shah, Executive President and CTO at Havells

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. Havells evaluated voice AI models on recognition accuracy, multilingual support, latency, and voice synthesis before moving the solution into production in approximately six weeks, with support from ElevenLabs' Forward Deployed Engineering team on voice quality and regional language pronunciation tuning

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Strategic Implications for Smart Home Adoption

This deployment matters because it addresses a fundamental barrier to smart home adoption in multilingual markets. "People have always had to learn the interface of communicating: the commands, the syntax, the order they come in. That is hardest in India, where a household does not speak one language and often moves between three in a single sentence," said Karthik Rajaram, General Manager and Country Head for India at ElevenLabs

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. By removing the need for users to meet technology halfway, Havells positions natural speech as the primary interface for its connected home ecosystem. Shah described the feature as "a daily-use AI experience that goes beyond traditional voice interfaces by allowing consumers to interact with devices without having to remember specific commands"

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. Watch for how this affects user engagement metrics and whether competitors follow with similar multilingual approaches.

Expansion Roadmap Signals Broader Ambitions

Havells plans to expand the feature to more Indian languages and bring additional appliances onto the platform

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. The company also outlined plans for deeper personalization for individual household members and extending the voice interface beyond device control to product FAQs, troubleshooting, and scheduling

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. This roadmap suggests Havells sees conversational AI as central to its smart home strategy rather than a supplementary feature. The move from device control to customer support and scheduling could reduce friction across the entire product lifecycle. As voice interfaces become more capable at understanding intent and context, expect Havells to use this data to inform product development and identify common user pain points that haven't been addressed through traditional feedback channels.

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