Jio and TM Forum Members Collaborate to Develop Architectures That Enable AI at Scale

Mittal emphasised the need for secure and efficient data architecture, stating that AI implementation must be built on standardised frameworks to reduce inconsistency and hallucinated outputs. “Data is turning out to be a new oil,” he says. “[There is] a lot of knowledge, which can be utilised by various technical teams, business teams, marketing teams.” But its use must be architected securely and efficiently.

“The modernisation of our overall architecture is happening perpetually – every day we are improving on our architectural constructs,” says Mittal. “What we have brought to the core of our strategy is the AI implementation of componentisation and intent-based management.”

“AI is like an untamed animal,” he said. “Everybody is really going this way and that way. There are a lot of hallucinated outputs,” he explains, according to a TM Forum report dated May 28, 2025. “Even with structured data in the back, you ask the same question twice, thrice, n number of times, and you get different answers. So, you need to standardise the framework and define the guardrails and how different things need to be done.”

Also Read: TM Forum Expands ODA Canvas with Microsoft Azure Integration for Telcos

TM Forum’s Innovation Hub

According to the Mittal, Jio is playing a key role in TM Forum’s Innovation Hub in Mumbai, which focuses on embedding AI into the Open Digital Architecture (ODA). This includes developing an intent-based framework that enables AI models to interact and operate within autonomous networks. One such initiative involves integrating TM Forum’s AI Virtual Assistant (AIVA) as a standard component within ODA, alongside efforts to make all components AI-native.

Jio’s Collaboration with TM Forum

“We have brought AI implementation to the core of [TM Forum’s] strategy,” he said. “So, what we are looking for are major thought processes around componentisation and intent-based implementation. These are the core of the strategy now… AI and data are at the center of the other two themes, and everything is getting integrated through the intent-driven architectures and implementations.”

“So, a lot of futuristic architecture is being planned, which gels with what leading operators are planning in their architectures,” he adds, pointing to the participation of operators including Deutsche Telecom, Orange, Telenor and Vodafone in the Innovation Hub.

Also Read: Jio 5G FWA Stack Sees Global Interest After India Scale-Up; Jio Private 5G Powering Industry 5.0

Specifically, Mittal sees a need for business architecture integration to allow different large language models (LLMs) to interact. “There are some technologies we are working on for implementing AI-to-AI kind of interactions,” he says, adding that it’s important to continue work on TM Forum’s intent API.

Shift Toward Agentic AI

Looking ahead, Jio is working on frameworks to support agentic AI—modular systems built on smaller, open-source language models. These models would be trained on the company’s own data to deliver high performance at lower cost and carbon footprint. Mittal noted that such specialised AI agents could allow enterprises to scale GenAI applications without excessive infrastructure investment.

Also Read: Jio Showcases AI Tools, Industry 5.0 and More Innovations at IMC2024

Cost-Efficient AI for Enterprise Scale

“One of the big problems with large organisations is how do they adopt GenAI? Because the moment you are on any commercial model and as you proliferate across the organisation for different use cases, the bill – the cost – goes really out of the roof,” Mittal explains. “Now, the thought process is that we should have very, very specialised agents that can work on smaller LLM models, which are more open source, and train them with the organisation’s data and behaviour.”

With training and retraining, these agents could become quite powerful so that operators wouldn’t need a huge number of graphics processing units. “We need to come up with that kind of agentic framework in which it can scale and still remain cost effective, as well as have a lower carbon imprint,” said Mittal.

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