Marketing, Digital & AI
Berlin doesn’t need another social network.
Sometimes, though, it would be useful to talk to people who are actually in the same place at that exact moment. Before a concert. At a street festival. At a flea market. Or simply in your own neighbourhood. Not as a post that appears in a feed hours later, but at the very moment something is happening.
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It is well known that media discontinuities and rigid document formats slow down day-to-day work in public administration. Anyone involved in implementing the Online Access Act (OZG) or in day-to-day case management is familiar with this bottleneck: information often arrives at government offices in an unstructured form and has to be time-consumingly prepared for use in specialist procedures.
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Many companies are currently trialling AI tools. Writing texts, summarising emails, developing ideas, analysing data – much of this already works surprisingly well. Nevertheless, in practice, one is often left with the feeling that: AI can do a lot, but it doesn’t know our company.
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The era of the “ten blue links” in search results is coming to an end. Today, when users look for information, service providers, or solutions, they increasingly rely on AI-driven search engines like Perplexity, SearchGPT, or Google AI Overviews. They no longer want to sift through lists of links – they expect a precise, AI-summarized answer.
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Many companies are currently looking into using artificial intelligence (AI), especially generative AI. But rising expectations for efficiency, quality, and speed often clash with limited resources, a lack of experience, and unanswered questions about data protection, IT security, and regulation. Against this backdrop, the question arises as to whether having your own ‘AI lab’ would be a suitable approach.
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