Rheinische Post has been treating artificial intelligence less as a standalone technology project than as part of a wider effort to build a stronger digital business, with a particular emphasis on subscriber growth and internal capability.
Margret Seeger, who was appointed Group Head of AI in October 2024, said at WAN-IFRA’s AI forum in Frankfurt that the publisher’s approach is designed to support its broader transformation rather than sit apart from it.
In practice, that means AI work is tied to the group’s target of reaching 250,000 digital subscribers, while the company also seeks to preserve what Seeger described as the qualities that make a newspaper brand distinct: human judgment, accessibility and an identifiable editorial voice.
Rheinische Post is restructuring its approach to artificial intelligence, shifting from early experimentation to a coordinated, company-wide strategy designed to deliver operational and commercial results.
The move highlights how publishers are formalising AI adoption as an organisational priority – with governance, training and accountability replacing ad hoc trials as the industry seeks to turn new tools into sustainable value.
The Düsseldorf-based group publishes Rheinische Post and holds stakes in regional titles including General-Anzeiger in Bonn and Saarbrücker Zeitung in Saarland. In March, it also announced the acquisition of Westfälische Medien Holding, publisher of Westfälische Nachrichten, a deal that has since received regulatory approval.
Like many peers, the company began testing generative AI after the release of ChatGPT in late 2022. Those efforts were initially fragmented, with no shared policy or roadmap. The arrival of AI lead Seeger introduced a formal structure, including defined responsibilities and a three-tier governance model: a group head of AI, departmental taskforces and an AI council of senior executives and business unit leaders.
Seeger has framed that structure as critical to scaling adoption, arguing that publishers must define how and where tools are used if they are to move beyond pilot projects.
Training has been a central pillar. Rheinische Post set up an AI Academy and says it has trained more than 1,000 employees. Work with DAIN Studios has supported that effort, helping staff develop more than 100 use cases, with more than 50 implemented. The company’s aim is to integrate AI into everyday workflows rather than treat it as a standalone initiative.
In September 2025, the group launched DigitalFit Akademie, a separate programme aimed at improving digital participation among older readers and subscribers. It offers group training, hotline support and on-site advice to help users access services such as online banking and digital appointments, extending the company’s digital strategy beyond internal operations.
Early results point to efficiency gains. Seeger said product prototypes that once took months can now be built in days, while some customer service processes are about 80% automated. Automated print page production has also proved effective. Other experiments have been dropped, including a project to generate audio articles using cloned newsroom voices, after usage failed to justify the cost.
The focus is now shifting to what Seeger calls “lighthouse initiatives”: larger projects with clearer editorial or commercial impact. These include a newsroom research assistant for analysing local public documents and new data tools, alongside commercial applications such as a system under development to identify potential business leads from branded posts on Meta and LinkedIn.
Future progress will be judged increasingly on return on investment. Most projects now have defined objectives, while a smaller number are maintained for strategic reasons despite less measurable outcomes.
Source: Noah Wire Services
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The article was published on April 21, 2026, and presents recent developments in Rheinische Post’s AI governance strategy, including initiatives up to March 2026. No evidence of recycled or outdated content was found.
Quotes check
Score:
8
Notes:
Direct quotes from Margret Seeger, Group Head of AI at Rheinische Post Mediengruppe, are included. While these quotes are not independently verifiable online, they are consistent with her known role and recent activities. The lack of direct online verification is noted as a concern.
Source reliability
Score:
9
Notes:
The article is published by WAN-IFRA, a reputable organisation in the media industry. However, as a trade association, it may have a vested interest in promoting positive developments within the industry, which could influence the objectivity of the reporting.
Plausibility check
Score:
9
Notes:
The claims about Rheinische Post’s AI initiatives align with known industry trends and the company’s recent activities. However, the absence of independent verification for some claims, such as the exact number of employees trained, raises questions about the accuracy of these figures.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article provides a detailed account of Rheinische Post’s AI governance strategy, with recent and relevant information. However, the reliance on internal sources and the lack of independent verification for some claims introduce uncertainties. While the content is plausible and aligns with industry trends, the absence of external confirmation for certain details affects the overall confidence in the report’s accuracy.