Reliance Industries is trying to make artificial intelligence a built-in part of everyday digital life in India. At its annual shareholder meeting on Friday, the Mumbai-based conglomerate laid out new AI services for phone calls, mobile apps, connected homes, healthcare, education, agriculture and small businesses.
The message from billionaire Mukesh Ambani was direct: Reliance wants to be more than a distributor of AI tools built elsewhere. It wants Jio to become a major channel for AI services in India, with products that reach consumers through calls, apps and household devices.
AI moves into the phone call
The most immediate consumer-facing announcement was Jio Call Agent, an AI assistant designed to join phone calls. The assistant can transcribe conversations, create summaries and handle tasks such as booking cabs, ordering food and making reservations.
Users will be able to activate the service by saying "Hey Jio." Reliance expects Jio Call Agent to launch later this year for Jio's more than 500 million users.
The way Reliance is delivering the feature matters. Instead of presenting Jio Call Agent as a separate app, the company is embedding the assistant directly into its telecom network. That could make AI assistance feel like a native part of calling rather than an extra tool that users must download, configure and remember to open.
For Reliance, that creates a distribution advantage. A call assistant tied to Jio's network could reduce users' dependence on third-party call-assistant apps. It also gives Reliance a direct route into one of the most common communication habits: the phone call itself.
MyJio and TeleFrame extend the assistant model
Reliance also introduced an AI-powered version of its MyJio app. The updated app is designed to take natural-language requests and perform tasks on behalf of users. Examples include activating eSIMs and selecting roaming plans.
This points to a broader shift in app design. Instead of making users search through menus or compare settings manually, Reliance is presenting AI as a task layer inside the app. The user states what they want, and the system acts on that request.
The company also unveiled TeleFrame, a home display that uses AI agents to surface information and recommendations before users ask. Reliance said examples include weather alerts, schedules and household reminders.
TeleFrame places Reliance in the wider push toward ambient AI assistants for the home. The source article notes that companies including Amazon and Google are exploring that area. Reliance's version is tied to its own consumer ecosystem and its ambition to make AI services available through familiar household and mobile interfaces.
Reliance wants a domestic AI stack
The announcements build on the launch of Reliance Intelligence last year. Through that effort, the conglomerate aims to develop AI infrastructure and services for consumers, businesses and governments, including applications that support 22 Indian languages.
Ambani, 69, framed the strategy as part of India's role in the global AI race.
"India should not be a mere consumer of AI created elsewhere. It must become a creator, adopter, and a global leader in AI,"
Reliance has also been increasing its AI partnerships. The company has worked with Google, Meta and Nvidia, and earlier this year announced plans to invest $110 billion in AI infrastructure.
Last week, Reliance announced a collaboration with Meta to establish an AI data center in the western state of Gujarat. That effort builds on Meta's earlier investment in Jio Platforms and a joint venture launched last year to develop AI solutions for enterprise customers in India and overseas markets.
The wider context is India's reliance on foreign AI models and cloud providers. Recent restrictions on access to some of Anthropic's latest models showed how decisions made overseas can affect startups and businesses building AI products in India. For large Indian conglomerates, that kind of supply-chain risk strengthens the case for building more of the AI stack themselves.
New services target major Indian use cases
Reliance did not limit its AI announcements to phone calls and home devices. At the shareholder meeting, the company also unveiled AI services for several sectors:
- JioHealthIQ for healthcare.
- JioLearnIQ for education.
- JioKrishiIQ for agriculture.
- AI Vyapar for small businesses.
The company said these products are designed to work across multiple Indian languages and serve local needs. That language support is central to the strategy described in the source article: Reliance is not only trying to sell AI capability, but to make it usable across a large and varied market.
The focus on healthcare, education, agriculture and small businesses also shows how Reliance is positioning AI as infrastructure for daily services, not just as a consumer chatbot or a productivity add-on. Each product name points to a domain where routine tasks, information access and local-language interaction could matter to users.
Investors are watching Jio's next step
The AI push is happening as Jio Platforms moves closer to a stock market debut. Ambani said Jio Platforms' board had approved a draft prospectus for an initial public offering that would include a fresh issue of up to 270 million shares, according to a stock exchange filing.
That gives the AI strategy a financial dimension. Reliance needs new growth drivers as it prepares Jio for a long-awaited listing. The source article notes that the conglomerate's shares are down about 17% this year.
There are also unresolved questions about user data. Reliance said the services would operate with user consent. However, it did not answer questions about whether data generated through the products could be used to train AI models or shared with technology partners.
Reliance is not the only major Indian company pursuing AI opportunities. Tata Consultancy Services, Infosys and rival Adani Group have also expanded AI initiatives and partnerships with global players, including Anthropic, Google and OpenAI.
Still, Reliance has a particular advantage: Jio already sits close to consumers through telecom and digital services. If the company can make AI part of calls, app tasks and connected homes, it could turn distribution into one of its strongest assets in India's AI market.