Content Monetization Success Story: AI Intelligence Case Study

How a Major European Broadcaster Created New Revenue Streams from Content Archives.

The Challenge

This European Public Broadcaster with 21,000 employees needed faster field contribution workflows. Editorial processing took tens of minutes, forcing reliance on third-party social media sources. This dependency reduced content uniqueness and introduced bias, damaging their reputation as a trusted, unbiased news supplier. 

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Project Goals

  1. Reduce time to air for field contribution content from tens of minutes to minutes.

  2. Decrease dependency on third-party social media sources for breaking news.

  3. Restore brand reputation for original, unbiased, and trusted news programming.

The Solution

Support Partners designed AI-based acquisition workflow with Microsoft Teams application. As content enters newsroom, AI enriches it with tags identifying people, places, and things down to sub-clip level. Editorial staff subscribe to topics through Teams application, receiving AI-matched content directly instead of searching through endless footage. 

The Business Benefit

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70% reduction in time to air for field content.

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Improved brand reputation for unbiased news.

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Reduced dependency on 3rd party social sources.  


 

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Faster editorial processing workflows.


 

This news intelligence success story demonstrates how AI-driven workflows can accelerate content delivery for broadcasters facing similar field contribution and editorial processing challenges.