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How The Telegraph and Mimecast put AI into production, and kept it there.

A 64 to 94% reduction in first-pass editorial edit time. A 20% increase in sales enablement content productivity. Production numbers, not pilot results.

Case study · 5 min read · Weaver

Two of the most demanding enterprise AI deployments Weaver has been part of share one thing: they went to production, not to a pilot. They generated measurable returns. And they are still running.

01

The Telegraph: Editorial AI in the newsroom

The Telegraph needed to solve a problem that every major media organization has: their editorial workflow was too slow, too manual, and too dependent on individual expertise that did not scale. Journalists were spending hours on tasks that should take minutes.

You.com and Weaver deployed four production AI agents directly into The Telegraph's AuthorX editorial tool:

The Style Agent reviews drafts against The Telegraph's house style guide, banned words, capitalisation rules, and regional requirements. First-pass mechanical edit time reduced by 64 to 94%.

The Legal Risk Agent surfaces defamation risks, copyright issues, and sensitive passages before copy reaches the legal team. Legal review queue time reduced by over 90%. Legal acts as expert reviewer, not gatekeeper.

The Creative Agent generates headline options, standfirsts, and social copy variants with SEO scoring built in. Content derivative generation reduced from hours to seconds.

The Fact Check Agent verifies claims against You.com's live search index, returns confidence scores and citations. Manual fact verification time reduced by 70 to 90%.

These are not pilot numbers. These are production metrics from a live, daily-use system inside one of the UK's most prominent newsrooms.

02

Mimecast: Enterprise AI productivity at scale

With You.com and Weaver, Mimecast deployed You.com's enterprise AI platform across their global workforce. The brief: turn AI into a measurable business productivity tool, not a collection of individual experiments.

Giles Giddings, Global VP Enablement, reported the results: a 20% increase in sales enablement content productivity. Three use cases in active production: field training, cross-team prompt sharing, and Salesforce to Zendesk data migration. Global rollout across Mimecast's worldwide workforce.

“In the age of AI, IT must be a nimble and fast innovation enabler.”
Paul Heard, Mimecast CIO

In both cases, the difference between these deployments and the 95% that fail was not the technology. It was the architecture: production-grade from day one, integrated with existing systems, and supported by structured user training throughout the deployment.

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