Customer story

NZZ x Unframe

AI proofreading assistant that sharpens style, lifts accuracy, and flags early fact issues - speeding up newsroom review with confidence.

Industry

Media

Deployed in

Editorial

region

EMEA

use cases

Proofreading AI

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The Challenge

Across fast-paced newsrooms, editors were spending excessive time on manual copy cleanup - chasing style inconsistencies, verifying foreign name spellings, and correcting avoidable language errors. With stories filing continuously throughout the day, many of these issues slipped past first reads and accumulated later in the production cycle. Early factual mistakes - such as misnamed places or inconsistent references - were still being caught too far downstream, creating bottlenecks and slowing the publishing pipeline. Teams needed a reliable, on-brand editorial assistant that could reduce friction without lowering editorial standards.

The Solution

Unframe introduced an AI proofreading assistant trained on the outlet’s stylebook, transcription rules, and editorial patterns. It scans copy for style slips, language misses, and early fact issues, surfacing clear, in-context suggestions that editors can accept or override in seconds. The tool handles everything from foreign-name transcription to tricky punctuation and location checks, giving editors a faster, cleaner first pass. Throughout the workflow, every decision feeds a learning loop - making the assistant sharper with each article.

As tailored as build & as fast as buy

Unframe gives you the best of both worlds - your data, your models, your governance - delivered through a platform that removes everything slowing you down. You stay in control. You just move faster.
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The reason we wanted to work with Unframe was to improve our quality and take our proofreading team’s capabilities to the next level with AI. I would highly recommend working with Unframe. They have been a very inspiring and incredible partner to work with.
Barnaby Skinner
Deputy Editor in Chief