Filling interim management roles requires precision – qualified executives must be identified, vetted, and placed with the perfect fit in a short amount of time.

At interim-x, we rely on the targeted use of artificial intelligence (AI) to make this process faster, more objective, and fairer. AI supports us where data volume, comparability, and speed are crucial – without replacing the human element.

AI-Powered Pre-Selection

Our platform analyzes applications using semantic algorithms and vector models. This allows us to precisely match skills, experience, and industry expertise with the requirements of a project. Based on this analysis, we identify the interim managers who best meet the defined criteria of a project – regardless of subjective perception or order of receipt.

 

Objective Scoring

Each application is evaluated using a scoring model that considers relevant factors such as leadership experience, project successes, industry knowledge, and mobility. The result is an objective basis for comparison, ensuring that qualified candidates are identified more quickly.

 

Combining Technology and Expertise

The matching process is semi-automated: AI provides suggestions – the final selection is always made by experienced professionals. Practical observations are fed back into the system to continuously improve the models and reduce the risk of bias.

Risk Awareness

We understand the reservations surrounding AI in recruiting. According to a study by the International University (IU), 65.2% of respondents associate artificial intelligence in the application process with negative connotations; 43.0% fear a deterioration of the experience, and 72.0% find the process too impersonal.

At interim-x, we actively address these concerns.

 

AI is a tool – not a replacement for human judgment or dialogue.

AI Matching
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Measures to minimize risk

  • Human contact: Applicants have personal contact within the interim-x team throughout the entire process.
  • Final decision by humans: No AI system decides on project assignments. An experienced consultant is always responsible.
  • Continuous quality control: The systems are regularly reviewed to identify and correct biases.
  • Transparency and traceability: For every matching, it is clear which criteria led to a recommendation.

Advantages of the AI-supported selection process

  • Accelerated placement: Suitable candidates are identified within 24 to 48 hours.
  • Objectivity and fairness: Decisions are based on measurable criteria, not subjective assessments.
  • Uniform quality standards: Profiles are evaluated consistently, regardless of who is conducting the evaluation.
  • Higher project quality: Precise matching of skills and requirements increases the success rate and customer satisfaction.
  • Data-driven improvement: Every successful placement contributes to the optimization of the algorithm.

Conclusion

The use of artificial intelligence is an integral part of our digital matching process – but always in conjunction with human expertise.

This allows us to combine speed and objectivity with empathy and responsibility. For interim managers, this means fair opportunities – for companies, precise placements in the shortest possible time.

Our goal remains unchanged: the best executive for every assignment – ​​quickly, accurately, and transparently.