Recruiting Farewell: AI Assistant Takes Over?

In a nutshell: Artificial intelligence is revolutionizing recruitment – but can it truly replace humans? Jasmina Jansen, Managing Director of LOGISTIC PEOPLE (Deutschland) GmbH, shares how her team uses the AI assistant "Sarah" to automate processes while never losing sight of the human factor. A fascinating look behind the scenes of a modern recruiting world where gut feeling is (still) irreplaceable. 

When Algorithms Place Personnel 

Listening to Jasmina, one might almost think that personnel placement has long been fully automated. After all, she manages Logistics People GmbH as its Managing Director – a company specializing in placing skilled professionals and executives in the logistics sector, with an intense focus on the use of AI in recruiting. And yet it quickly becomes clear: things haven't gone that far (yet) – and that's a good thing. 

Because even though AI has made inroads in many areas, one factor remains decisive: the human being. "We built our own AI assistant within our team. Her name is Sarah", Jasmina explains. "Sarah is incredibly diligent – she regularly calls hundreds of candidates from our pool, politely asks whether anything has changed in their professional situation, and updates the information." This feeds new data directly back into the system, improving future matching. 

Sounds like science fiction? It's already reality. Sarah transparently introduces herself as an AI assistant – and the conversations unfold in a surprisingly human way. "People talk to her quite naturally – they even ask her how she's doing or what the weather is like", says Jasmina with a laugh. The AI agent takes a great deal of work off the team's plate, for instance when following up with candidates who haven't heard anything in a while: "We wanted to make sure no one felt they'd been forgotten." 

Matching at the Push of a Button – But with a Human Touch 

The technology behind Sarah is sophisticated. She cross-references incoming applications with empirical data, evaluates how placeable a candidate is on the market, and suggests suitable vacancies. An AI-based matching tool is also in use. It takes into account both professional qualifications and – to the extent possible – soft factors. But this is where the limits become apparent: "There are things Sarah simply can't (yet) detect. For example, whether someone will truly fit the team", Jasmina emphasizes. 

And this is precisely where gut feeling remains irreplaceable. The so-called "cultural fit" – whether someone suits the company culture and the team – is the most common reason for rejection in practice. "For us, it's always the worst reason", says Jasmina. "Because it's not tangible. What does 'doesn't fit the team' actually mean? And what does the team actually need?" For an AI, this is difficult to near-impossible to grasp – unless this information is available in a structured format. 

In plain terms, this means: without continuous feedback, structured observations, and human experiential knowledge, AI cannot make a well-founded assessment of team fit. "We would need an enormous amount of highly sensitive data – how someone is perceived within the team, what the atmosphere is like. Not everyone can or wants to share that." The result: a decision based solely on algorithms would be risky – especially in logistics, where teamwork is central. 

AI Is Already Here – Just Not Alone 

That said, she is by no means skeptical of technology. On the contrary: "AI is a tremendous asset for the industry. But it needs to be fed with data – and with purpose. Then it can learn too." The goal is not to replace humans, but to free them from administrative work. "I want our recruitment consultants to be on the phone with candidates – not maintaining Excel spreadsheets or coordinating job interviews. That's what Sarah is for." 

Jasmina sees this clear division of roles as the recipe for success: "AI handles the administrative side, while people take care of the human side." Because whether someone will be happy in a job long-term often depends on subtle factors – the tone within the team, the feeling of trust, or eye contact during an interview. None of that can (yet) be simulated by a machine. 

Farewell to recruiting? Not quite yet. But one thing is certain: those who, like Jasmina's team, deploy AI meaningfully gain a genuine competitive advantage – without losing sight of what matters most: the human at the center. 

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