Where AI shows impact first in media companies.
The fastest payback comes from use cases that relieve routine work and make better use of existing content: editorial workflows, archive indexing and personalization. These are the three fields we prioritise most often – described here honestly, limits included.
Editorial workflows
Summaries, headline variants, editing support, channel adaptation and research aids relieve your newsroom of routine work – with full editorial control. The measurable lever: time saved per article, flowing back into research and quality.
Typical KPIs: minutes saved per article, output per desk
Prioritise first? → AI consulting
Build directly? → AI software development
Archive & metadata
Automated tagging, entity extraction and image/video analysis unlock assets that lie dormant today. Your archive turns from cost centre into product foundation – for search, discover-optimised tagging, topic pages and licensing.
Typical KPIs: assets indexed, findability rate, archive traffic
Prioritise first? → AI consulting
Build directly? → AI software development
Personalization
Recommendations, personalised newsletters and propensity models bring the right content to the right reader at the right time – turning anonymous reach into loyal, paying users.
Typical KPIs: click-through rate, time spent, subscription conversion
Prioritise first? → AI consulting
Build directly? → AI software development
Further application areas we implement.
Detailed pages for the three core use cases will follow in phase 2 – and we already cover the following fields in consulting and development today:
- Automated summaries
- Text-to-speech & audio formats
- Translation & localisation
- Research & fact-checking support
- Contextual advertising
- Semantic search
Which use case fits your company?
In the intro call we sort your ideas – and also tell you which ones will not pay off for you.